Copy_of_NER_PipelineRealSynthetic.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m9Hp4uXgX8Sb"
      },
      "source": [
        "### Set Up"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uk7lnLMSX5P3"
      },
      "outputs": [],
      "source": [
        "# installing Med7 (GLOVE and roberta embeddings) and it's related libraries\n",
        "# !python -m pip install jedi --quiet\n",
        "# !python -m pip install -U wheel pip setuptools pip install spacy==3.4.4 pip install spacy-transformers==1.1.9 --quiet\n",
        "# !python -m pip install https://huggingface.co/kormilitzin/en_core_med7_lg/resolve/main/en_core_med7_lg-any-py3-none-any.whl --quiet\n",
        "# !python -m pip install https://huggingface.co/kormilitzin/en_core_med7_trf/resolve/main/en_core_med7_trf-any-py3-none-any.whl --quiet"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yhGh2vYyIRZR",
        "outputId": "9504f5fe-d877-4c11-c02f-2a45080c3a46"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive', force_remount=True)\n",
        "\n",
        "# CD to Drive Directory for imports\n",
        "import sys\n",
        "sys.path.append('drive/MyDrive/SynDa_Health/DownstreamNERTask')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "XwLgTBvMIdBy"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import pickle\n",
        "import ast\n",
        "\n",
        "from tqdm import tqdm\n",
        "\n",
        "import spacy\n",
        "\n",
        "from Modules.label_parser import ner_parser\n",
        "from Modules.extract_ner_datasets import extract_data\n",
        "from Modules.finetune_spacy import load_valid_data, load_test_data, train_ner, evaluate_ner"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "UGy33l0oLdg2"
      },
      "outputs": [],
      "source": [
        "# input_paths = [\"Real\", \"LT3\", \"T5\"]\n",
        "input_paths = [\"RealSynthetic\"]\n",
        "specific_path = None\n",
        "OUT_PATH = \"drive/MyDrive/SynDa_Health/DatasetAnalysis/Generations/Results\"\n",
        "\n",
        "EPOCHS = 10"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "K0Vp4H25YIJK"
      },
      "source": [
        "### Train Model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Ffd9ViPZYxLx"
      },
      "outputs": [],
      "source": [
        "# def prepare_dataset(specific_path=None):\n",
        "#     global input_paths\n",
        "\n",
        "#     if specific_path:\n",
        "#         input_paths = [specific_path]\n",
        "\n",
        "#     for input_path in input_paths:\n",
        "\n",
        "#         path = \"drive/MyDrive/SynDa_Health/DatasetAnalysis/Generations\" + input_path\n",
        "\n",
        "#         for split_path in ['train', 'valid', 'test']:\n",
        "#             df = read_text_into_dataframe(path + f\"/{split_path}_descriptions.txt\")\n",
        "\n",
        "#             parsed_data = pd.concat([ner_parser(instruction) for instruction in df['instructions']])\n",
        "#             parsed_data.reset_index(drop=True, inplace=True)\n",
        "#             df_with_entities = pd.concat([df, parsed_data], axis=1)\n",
        "\n",
        "#             data = extract_data(df_with_entities)\n",
        "\n",
        "#             with open(path + f'/{split_path}_data.pkl', 'wb') as f:\n",
        "#                 pickle.dump(data, f)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "kPmN7DR4_QLO"
      },
      "outputs": [],
      "source": [
        "def prepare_dataset(specific_path=None):\n",
        "    global input_paths\n",
        "\n",
        "    if specific_path:\n",
        "        input_paths = [specific_path]\n",
        "\n",
        "    for input_path in [\"Real\"]:\n",
        "\n",
        "        path = \"drive/MyDrive/SynDa_Health/DatasetAnalysis/Generations/\" + input_path\n",
        "\n",
        "        # df = read_text_into_dataframe(path + f\"/{input_path}-Training-5xGenerations.txt\")\n",
        "        with open(path + f\"/train_descriptions.txt\") as f:\n",
        "          lines = f.readlines()\n",
        "\n",
        "        # Split the data into lines\n",
        "        # lines = data.split('\\n')\n",
        "\n",
        "        # Create a DataFrame with one column\n",
        "        df = pd.DataFrame({'instructions': lines})\n",
        "\n",
        "        # Display the DataFrame\n",
        "        parsed_data = pd.concat([ner_parser(instruction) for instruction in df['instructions']])\n",
        "        parsed_data.reset_index(drop=True, inplace=True)\n",
        "        df_with_entities = pd.concat([df, parsed_data], axis=1)\n",
        "\n",
        "        data = extract_data(df_with_entities)\n",
        "\n",
        "        with open(path + f'/5xGenerationsReal_data.pkl', 'wb') as f:\n",
        "            pickle.dump(data, f)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "YcrQJjdDMn60"
      },
      "outputs": [],
      "source": [
        "def prepare_dataset(specific_path=None):\n",
        "    global input_paths\n",
        "\n",
        "    if specific_path:\n",
        "        input_paths = [specific_path]\n",
        "\n",
        "    for input_path in [\"LT3\"]:\n",
        "\n",
        "        path = \"drive/MyDrive/SynDa_Health/DatasetAnalysis/Generations/\" + input_path\n",
        "        with open(path + f\"/{input_path}-Testing-5xGenerations.txt\", 'r') as fp:\n",
        "            medications = ast.literal_eval(fp.read())\n",
        "\n",
        "        instructions = []\n",
        "        for key in medications:\n",
        "            for value in medications[key]:\n",
        "                instructions.append(value)\n",
        "\n",
        "        df = pd.DataFrame(instructions, columns=[\"instructions\"])\n",
        "        # df = read_text_into_dataframe(path + f\"/{input_path}-Training-5xGenerations.txt\")\n",
        "        parsed_data = pd.concat([ner_parser(instruction) for instruction in df['instructions']])\n",
        "        parsed_data.reset_index(drop=True, inplace=True)\n",
        "        df_with_entities = pd.concat([df, parsed_data], axis=1)\n",
        "\n",
        "        data = extract_data(df_with_entities)\n",
        "        with open(path + f'/5xGenerationsSynthetic_data.pkl', 'wb') as f:\n",
        "            pickle.dump(data, f)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "V_Oedb31ap2B"
      },
      "outputs": [],
      "source": [
        "if __name__ == \"__main__\":\n",
        "    prepare_dataset()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "jR4110u-pnWQ"
      },
      "outputs": [],
      "source": [
        "def filter_data(data, keep_count=1):\n",
        "    \"\"\"\n",
        "    Filters the data based on the first word of the first element of the tuple.\n",
        "    Keeps only 'keep_count' number of entries for tuples with the same starting word.\n",
        "\n",
        "    Parameters:\n",
        "    - data: A list of tuples.\n",
        "    - keep_count: Number of entries to keep for tuples with the same starting word.\n",
        "\n",
        "    Returns:\n",
        "    - A filtered list of tuples.\n",
        "    \"\"\"\n",
        "    filtered_data = []\n",
        "    seen = {}\n",
        "\n",
        "    for item in data:\n",
        "        # Get the starting word from the first element of the tuple.\n",
        "        starting_word = item[0].split()[0]\n",
        "\n",
        "        # Check if we've seen this word before.\n",
        "        if starting_word in seen:\n",
        "            seen[starting_word] += 1\n",
        "            if seen[starting_word] <= keep_count:\n",
        "                filtered_data.append(item)\n",
        "        else:\n",
        "            seen[starting_word] = 1\n",
        "            filtered_data.append(item)\n",
        "\n",
        "    return filtered_data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "vWVrTZMvrEo5"
      },
      "outputs": [],
      "source": [
        "def filter_data_proportional(data, proportion=0.2):\n",
        "    \"\"\"\n",
        "    Filters the data based on the first word of the first element of the tuple.\n",
        "    Keeps a proportional number of entries for tuples with the same starting word.\n",
        "\n",
        "    Parameters:\n",
        "    - data: A list of tuples.\n",
        "    - proportion: Proportion of entries to keep for tuples with the same starting word.\n",
        "\n",
        "    Returns:\n",
        "    - A filtered list of tuples.\n",
        "    \"\"\"\n",
        "    filtered_data = []\n",
        "\n",
        "    # Count the occurrences of each starting word\n",
        "    word_count = {}\n",
        "    for item in data:\n",
        "        starting_word = item[0].split()[0]\n",
        "        word_count[starting_word] = word_count.get(starting_word, 0) + 1\n",
        "\n",
        "    # Calculate the number of entries to keep for each starting word\n",
        "    keep_count = {word: int(count * proportion) for word, count in word_count.items()}\n",
        "\n",
        "    # Make sure at least one item is kept for each starting word\n",
        "    for word in keep_count:\n",
        "        keep_count[word] = max(1, keep_count[word])\n",
        "\n",
        "    seen = {}\n",
        "    for item in data:\n",
        "        starting_word = item[0].split()[0]\n",
        "\n",
        "        if starting_word in seen:\n",
        "            seen[starting_word] += 1\n",
        "            if seen[starting_word] <= keep_count[starting_word]:\n",
        "                filtered_data.append(item)\n",
        "        else:\n",
        "            seen[starting_word] = 1\n",
        "            filtered_data.append(item)\n",
        "\n",
        "    return filtered_data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fgEartgX2C-o"
      },
      "outputs": [],
      "source": [
        "def oversample_data(data, oversampling_factor):\n",
        "    oversampled_data = []\n",
        "    for _ in range(oversampling_factor):\n",
        "        oversampled_data.extend(data)\n",
        "    return oversampled_data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "AT0QW5dN0H84"
      },
      "outputs": [],
      "source": [
        "def train_evaluate(epochs=1, param=0.2, specific_path=None, squeeze=False, oversampling_factor=1):\n",
        "    global input_paths\n",
        "\n",
        "    if specific_path:\n",
        "        input_paths = [specific_path]\n",
        "\n",
        "    keep_count = 5\n",
        "    proportional = True\n",
        "\n",
        "    for input_path in input_paths:\n",
        "\n",
        "        path = \"drive/MyDrive/SynDa_Health/Dataset/NER_Splits/\"\n",
        "\n",
        "        # Load real and synthetic data\n",
        "        real_data = load_valid_data(\"drive/MyDrive/SynDa_Health/DatasetAnalysis/Generations\", \"/Real/5xGenerationsReal_data.pkl\")\n",
        "        synthetic_data = load_valid_data(\"drive/MyDrive/SynDa_Health/DatasetAnalysis/Generations\", \"/LT3/5xGenerationsSynthetic_data.pkl\")\n",
        "\n",
        "        # Use filter_data_proportional to filter synthetic data\n",
        "        if param > 0:\n",
        "            filtered_synthetic_data = filter_data_proportional(synthetic_data, param)\n",
        "        else:\n",
        "            filtered_synthetic_data = []\n",
        "\n",
        "        # Concatenate real and filtered synthetic data\n",
        "        valid_data = real_data + filtered_synthetic_data\n",
        "\n",
        "        # Oversample the data\n",
        "        if oversampling_factor > 1:\n",
        "            valid_data = oversample_data(valid_data, oversampling_factor)\n",
        "\n",
        "        test_data = load_test_data(path)\n",
        "\n",
        "        nlp = spacy.load('en_core_web_sm')\n",
        "        ner = nlp.get_pipe(\"ner\")\n",
        "\n",
        "        train_ner(nlp, ner, valid_data, epochs=epochs)\n",
        "        results = evaluate_ner(nlp, test_data)\n",
        "\n",
        "        df = pd.DataFrame(results).T\n",
        "\n",
        "        df.to_csv(OUT_PATH + str(param) + \"FinalSpacyRealSynthetic\" + input_path + (f\"squeeze{keep_count}\" if squeeze else \"\") + (f\"{param}proportional\" if proportional else \"\") + \".csv\")\n",
        "\n",
        "        return df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/"
        },
        "id": "xfC0cns6hOXn",
        "outputId": "9175113b-b432-4093-84a8-3f55b7a68840"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "  0%|          | 0/5 [00:00<?, ?it/s]\n",
            "  0%|          | 0/10 [00:00<?, ?it/s]\u001b[A/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"metoprolol succinate xl 50 mg PO DAILY RX *metopro...\" with entities \"[(0, 20, 'DRUG'), (24, 29, 'STRENGTH'), (72, 78, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"clonidine 0.3 mg/24 hr Patch Weekly Sig: One (1) P...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (23, 28, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"hydromorphone (Dilaudid) 2 mg PO Q4H:PRN Pain RX *...\" with entities \"[(0, 13, 'DRUG'), (25, 29, 'STRENGTH'), (91, 97, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"clopidogrel 75 mg PO DAILY RX *clopidogrel 75 mg 1...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (51, 57, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO DAILY RX *tamsulosin 0.4 mg 1...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (51, 58, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"insulin syringe-needle U-100 1 mL 26 x [**2-14**] ...\" with entities \"[(0, 15, 'DRUG'), (25, 28, 'STRENGTH'), (100, 103,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amiodarone hcl 200 mg Tablet Sig: Two (2) Tablet P...\" with entities \"[(0, 14, 'DRUG'), (15, 21, 'STRENGTH'), (22, 28, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient [**Name (NI) **] Work PT, PTT, INR, Che...\" with entities \"[(0, 10, 'DRUG'), (52, 53, 'STRENGTH'), (70, 82, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"metolazone 2.5 mg Tablet Sig: One (1) Tablet PO DA...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (18, 24, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"clonidine 0.1 mg/24 hr Patch Weekly Sig: One (1) P...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (23, 28, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"docusate sodium 100 mg PO BID RX *docusate sodium ...\" with entities \"[(0, 15, 'DRUG'), (16, 22, 'STRENGTH'), (59, 66, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 5 mg Tablet Sig: One (1) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"sertraline 50 mg Tablet Sig: Five (5) Tablet PO DA...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (17, 23, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"cyanocobalamin (vitamin B-12) 1,000 mcg Tablet Sig...\" with entities \"[(0, 14, 'DRUG'), (26, 28, 'STRENGTH'), (40, 46, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D2 50,000 unit Capsule Sig: One (1) Capsul...\" with entities \"[(0, 9, 'DRUG'), (11, 17, 'STRENGTH'), (23, 30, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"voriconazole 200 mg PO Q12H RX *voriconazole 200 m...\" with entities \"[(0, 12, 'DRUG'), (13, 19, 'STRENGTH'), (54, 60, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"novolin 70/30 InnoLet 100 unit/mL (70-30) Insulin ...\" with entities \"[(0, 7, 'DRUG'), (8, 10, 'STRENGTH'), (50, 53, 'FO...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2.4W 2 g/100 mL Piggyback Sig: Two (...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (77, 90, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"hexavitamin     tablet [**Hospital1 **]: One (1) T...\" with entities \"[(0, 11, 'DRUG'), (34, 35, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin B-12 1,000 mcg Tablet Sig: One (1) Tablet ...\" with entities \"[(0, 9, 'DRUG'), (10, 12, 'STRENGTH'), (23, 29, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient lab Work Please obtain weekly CBC, BUN/...\" with entities \"[(0, 14, 'DRUG'), (114, 115, 'STRENGTH'), (34, 40,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"torsemide 100 mg PO DAILY Hold for SBP <90 RX *tor...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (66, 72, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole 40 mg PO Q24H RX *pantoprazole 40 mg ...\" with entities \"[(0, 12, 'DRUG'), (13, 18, 'STRENGTH'), (52, 58, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amoxicillin 500 mg PO Q8H RX *amoxicillin 500 mg 1...\" with entities \"[(0, 11, 'DRUG'), (12, 18, 'STRENGTH'), (51, 57, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet [**Hospital1 **]: One ...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"duoneb 0.5 mg-3 mg(2.5 mg base)/3 mL Solution for ...\" with entities \"[(0, 6, 'DRUG'), (7, 13, 'STRENGTH'), (37, 45, 'FO...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 40 mg PO DAILY Duration: 2 Days Tapered...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (86, 92, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 5 mg Tablet Sig: Two (2) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient [**Month/Day/Year **] Work Please check...\" with entities \"[(0, 10, 'DRUG'), (56, 58, 'STRENGTH')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amylase-lipase-protease 33,200-10,000- 37,500 unit...\" with entities \"[(0, 7, 'DRUG'), (24, 37, 'STRENGTH'), (51, 58, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient lab Work Weekly Chem-7, CBC with DIFF, ...\" with entities \"[(0, 14, 'DRUG'), (32, 33, 'STRENGTH'), (20, 26, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 10 mg PO once a day. Disp:*30 Tablet(s)...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (41, 47, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 325-650 mg PO Q6H:PRN pain RX *aceta...\" with entities \"[(0, 13, 'DRUG'), (14, 24, 'STRENGTH'), (68, 74, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient lab Work Patient will require once week...\" with entities \"[(0, 14, 'DRUG'), (63, 64, 'STRENGTH')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"mycophenolate mofetil 250 mg Capsule [**Hospital1 ...\" with entities \"[(0, 21, 'DRUG'), (22, 28, 'STRENGTH'), (29, 36, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2.4W 2 gram/100 mL Piggyback [**Tele...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (100, 113,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO HS RX *tamsulosin 0.4 mg 1 ca...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (48, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet, Chewable Sig: [**12-1...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"insulin Syringes Low dose U-100 syringes 25-26 gau...\" with entities \"[(0, 16, 'DRUG'), (28, 31, 'STRENGTH')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D3  Oral\n",
            "\" with entities \"[(0, 9, 'DRUG')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"ciprofloxacin hcl 500 mg PO Q12H Duration: 7 Days ...\" with entities \"[(0, 17, 'DRUG'), (18, 24, 'STRENGTH'), (85, 91, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"hydralazine 75 mg PO Q8H please hold for SBP <100 ...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (76, 82, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 60 mg PO DAILY RX *prednisone 10 mg 1 T...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (49, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"montelukast sodium 10 mg PO DAILY RX *Singulair 10...\" with entities \"[(0, 18, 'DRUG'), (19, 24, 'STRENGTH'), (56, 62, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"furosemide 40 mg Tablet Sig: One (1) Tablet PO DAI...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (17, 23, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"metoprolol tartrate 12.5 mg PO BID hold for SBP < ...\" with entities \"[(0, 19, 'DRUG'), (20, 27, 'STRENGTH'), (108, 114,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 1,000 unit Tablet, Chewable Sig: One (...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (23, 29, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"omeprazole 20 mg PO BID RX *omeprazole 20 mg 1 cap...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (47, 54, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole 40 mg PO Q12H RX *pantoprazole 40 mg ...\" with entities \"[(0, 12, 'DRUG'), (13, 18, 'STRENGTH'), (52, 58, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 20 mg PO DAILY Duration: 2 Days Tapered...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (86, 92, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acyclovir 400 mg PO Q8H RX *acyclovir 400 mg 1 tab...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (47, 53, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 60 mg PO DAILY Duration: 2 Days Tapered...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (96, 102, ...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "\n",
            " 10%|█         | 1/10 [01:33<14:00, 93.37s/it]\u001b[A\n",
            " 20%|██        | 2/10 [03:25<13:56, 104.61s/it]\u001b[A\n",
            " 30%|███       | 3/10 [05:20<12:44, 109.15s/it]\u001b[A\n",
            " 40%|████      | 4/10 [07:14<11:07, 111.18s/it]\u001b[A\n",
            " 50%|█████     | 5/10 [09:09<09:22, 112.59s/it]\u001b[A\n",
            " 60%|██████    | 6/10 [11:05<07:34, 113.55s/it]\u001b[A\n",
            " 70%|███████   | 7/10 [13:00<05:42, 114.03s/it]\u001b[A\n",
            " 80%|████████  | 8/10 [14:54<03:48, 114.09s/it]\u001b[A\n",
            " 90%|█████████ | 9/10 [16:49<01:54, 114.46s/it]\u001b[A\n",
            "100%|██████████| 10/10 [18:44<00:00, 112.50s/it]\n",
            " 20%|██        | 1/5 [19:05<1:16:23, 1145.83s/it]\n",
            "  0%|          | 0/10 [00:00<?, ?it/s]\u001b[A/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"levothyroxine 100 mcg PO DAILY RX* levothyroxine 2...\" with entities \"[(0, 13, 'DRUG'), (14, 21, 'STRENGTH'), (56, 62, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q6H RX* acetaminophen 650 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"multivitamins 1 TAB PO DAILY RX* multivitamins 1 t...\" with entities \"[(0, 13, 'DRUG'), (14, 15, 'STRENGTH'), (49, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"clonidine 0.1 mg/24 hr Patch Weekly Sig: One (1) P...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (23, 28, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"cyanocobalamin 1000 mcg Tablet Sig: One (1) Tablet...\" with entities \"[(0, 14, 'DRUG'), (15, 16, 'STRENGTH'), (24, 30, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"hydromorphone (Dilaudid) 2 mg PO Q4H:PRN Pain RX *...\" with entities \"[(0, 13, 'DRUG'), (25, 29, 'STRENGTH'), (91, 97, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2. 4W 2 g/100 mL Piggyback Sig: Two ...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (77, 90, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"na-hydrocodone-4-50 mcg/dose Disk with Device Sig:...\" with entities \"[(0, 2, 'DRUG'), (15, 23, 'STRENGTH'), (29, 45, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"docusate sodium 100 mg PO BID RX *docusate sodium ...\" with entities \"[(0, 15, 'DRUG'), (16, 22, 'STRENGTH'), (59, 66, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient [**Month/Day/Year **] Work Please check...\" with entities \"[(0, 10, 'DRUG'), (56, 58, 'STRENGTH')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet Sig: One (1) Tablet PO...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"latanoprost 0.005 % Drops Sig: One (1) Drop Ophtha...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (81, 88, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"torsemide 100 mg PO DAILY Hold for SBP <90 RX *tor...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (66, 72, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"levothyroxine 100 mcg PO DAILY RX* levothyroxine 1...\" with entities \"[(0, 13, 'DRUG'), (14, 21, 'STRENGTH'), (57, 63, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO HS RX* tamsulosin 0.4 mg 1 ca...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (48, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"insulin Syringes Low dose U-100 syringes 25-26 gau...\" with entities \"[(0, 16, 'DRUG'), (28, 31, 'STRENGTH')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"clonidine 0.3 mg/24 hr Patch Weekly Sig: One (1) P...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (23, 28, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 5 mg Tablet Sig: One (1) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 5 mg PO DAILY RX* amlodipine 5 mg 1 tab...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (47, 53, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 60 mg PO DAILY Duration: 2 Days Tapered...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (96, 102, ...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q6H RX* acetaminophen 500 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q6H RX* acetaminophen 325 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO HS RX *tamsulosin 0.4 mg 1 ca...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (48, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 5 mg Tablet Sig: Two (2) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole sodium 40 mg Tablet, Delayed Release ...\" with entities \"[(0, 19, 'DRUG'), (20, 25, 'STRENGTH'), (26, 32, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"furosemide 40 mg Tablet Sig: One (1) Tablet PO DAI...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (17, 23, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole 40 mg Tablet, Delayed Release (E.C.) ...\" with entities \"[(0, 12, 'DRUG'), (13, 18, 'STRENGTH'), (19, 25, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin B-12 1,000 mcg Tablet Sig: One (1) Tablet ...\" with entities \"[(0, 9, 'DRUG'), (10, 12, 'STRENGTH'), (23, 29, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"novolin 70/30 InnoLet 100 unit/mL (70-30) Insulin ...\" with entities \"[(0, 7, 'DRUG'), (8, 10, 'STRENGTH'), (50, 53, 'FO...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole 40 mg PO Q12H RX *pantoprazole 40 mg ...\" with entities \"[(0, 12, 'DRUG'), (13, 18, 'STRENGTH'), (52, 58, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient lab Work Patient will require once week...\" with entities \"[(0, 14, 'DRUG'), (63, 64, 'STRENGTH')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D2 50.000 unit Tablet Sig: One (1) Tablet ...\" with entities \"[(0, 9, 'DRUG'), (11, 17, 'STRENGTH'), (23, 29, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 325-650 mg PO Q6H:PRN pain RX *aceta...\" with entities \"[(0, 13, 'DRUG'), (14, 24, 'STRENGTH'), (68, 74, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q4H RX* acetaminophen 500 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q4H RX* acetaminophen 325 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"multivitamins 1 TAB PO DAILY RX* multivitamin tabl...\" with entities \"[(0, 13, 'DRUG'), (14, 15, 'STRENGTH'), (46, 52, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"montelukast sodium 10 mg PO DAILY RX *Singulair 10...\" with entities \"[(0, 18, 'DRUG'), (19, 24, 'STRENGTH'), (56, 62, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"cyanocobalamin (vitamin B-12) 1,000 mcg Tablet Sig...\" with entities \"[(0, 14, 'DRUG'), (26, 28, 'STRENGTH'), (40, 46, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"docusate sodium-100 mg Capsule Sig: One (1) Capsul...\" with entities \"[(0, 15, 'DRUG'), (16, 22, 'STRENGTH'), (23, 30, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2.4W 2 g/100 mL Piggyback Sig: Two (...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (77, 90, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2.4W 2 gram/100 mL Piggyback [**Tele...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (100, 113,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO DAILY RX *tamsulosin 0.4 mg 1...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (51, 58, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"duoneb 0.5 mg-3 mg(2.5 mg base)/3 mL Solution for ...\" with entities \"[(0, 6, 'DRUG'), (7, 13, 'STRENGTH'), (37, 45, 'FO...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2. 4W 2 g/100 mL Piggyback Sig: One ...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (84, 91, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"mycophenolate mofetil 250 mg Capsule [**Hospital1 ...\" with entities \"[(0, 21, 'DRUG'), (22, 28, 'STRENGTH'), (29, 36, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 20 mg PO DAILY Duration: 2 Days Tapered...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (86, 92, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 10 mg PO once a day. Disp:*30 Tablet(s)...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (41, 47, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D2 50,000 unit Capsule Sig: One (1) Capsul...\" with entities \"[(0, 9, 'DRUG'), (11, 17, 'STRENGTH'), (23, 30, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amoxicillin 500 mg PO Q8H RX *amoxicillin 500 mg 1...\" with entities \"[(0, 11, 'DRUG'), (12, 18, 'STRENGTH'), (51, 57, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"levothyroxine 100 mcg PO DAILY RX* levothyroxine 5...\" with entities \"[(0, 13, 'DRUG'), (14, 21, 'STRENGTH'), (56, 62, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 1,000 unit Tablet, Chewable Sig: One (...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (23, 29, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"ciprofloxacin hcl 500 mg PO Q12H Duration: 7 Days ...\" with entities \"[(0, 17, 'DRUG'), (18, 24, 'STRENGTH'), (85, 91, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"metolazone 2.5 mg Tablet Sig: One (1) Tablet PO DA...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (18, 24, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"sertraline 50 mg Tablet Sig: Five (5) Tablet PO DA...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (17, 23, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"insulin syringe-needle U-100 1 mL 26 x [**2-14**] ...\" with entities \"[(0, 15, 'DRUG'), (25, 28, 'STRENGTH'), (100, 103,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"bisacodyl 5 mg Tablet, Delayed Release (E.C.) Sig:...\" with entities \"[(0, 9, 'DRUG'), (10, 14, 'STRENGTH'), (15, 21, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient lab Work Please obtain weekly CBC, BUN/...\" with entities \"[(0, 14, 'DRUG'), (114, 115, 'STRENGTH'), (34, 40,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet, Chewable Sig: One (1)...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"hexavitamin     tablet [**Hospital1 **]: One (1) T...\" with entities \"[(0, 11, 'DRUG'), (34, 35, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet, Chewable Sig: [**12-1...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vancomycin hcl 1000 mg Capsule Sig: One (1) Capsul...\" with entities \"[(0, 14, 'DRUG'), (15, 16, 'STRENGTH'), (23, 30, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"latanoprost 0.005 % Drops Sig: One (1) Drop Ophtha...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (81, 87, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"voriconazole 200 mg PO Q12H RX *voriconazole 200 m...\" with entities \"[(0, 12, 'DRUG'), (13, 19, 'STRENGTH'), (54, 60, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient [**Name (NI) **] Work PT, PTT, INR, Che...\" with entities \"[(0, 10, 'DRUG'), (52, 53, 'STRENGTH'), (70, 82, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"metoprolol tartrate 12.5 mg PO BID hold for SBP < ...\" with entities \"[(0, 19, 'DRUG'), (20, 27, 'STRENGTH'), (108, 114,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D3  Oral\n",
            "\" with entities \"[(0, 9, 'DRUG')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 5 mg Tablet Sig: One (1) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2. 4W 2 gram/100 mL Piggyback Sig: O...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (87, 94, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"folic acid 1 mg Tablet Sig: One (1) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"clopidogrel 75 mg PO DAILY RX *clopidogrel 75 mg 1...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (51, 57, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 40 mg PO DAILY Duration: 2 Days Tapered...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (86, 92, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"silver sulfadiazine 1 % Cream Sig: One (1) Appl To...\" with entities \"[(0, 19, 'DRUG'), (20, 21, 'STRENGTH'), (80, 86, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acyclovir 400 mg PO Q8H RX *acyclovir 400 mg 1 tab...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (47, 53, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"metoprolol succinate xl 50 mg PO DAILY RX *metopro...\" with entities \"[(0, 20, 'DRUG'), (24, 29, 'STRENGTH'), (72, 78, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amylase-lipase-protease 33,200-10,000- 37,500 unit...\" with entities \"[(0, 7, 'DRUG'), (24, 37, 'STRENGTH'), (51, 58, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"hydralazine 75 mg PO Q8H please hold for SBP <100 ...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (76, 82, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 60 mg PO DAILY RX *prednisone 10 mg 1 T...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (49, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole 40 mg PO Q24H RX *pantoprazole 40 mg ...\" with entities \"[(0, 12, 'DRUG'), (13, 18, 'STRENGTH'), (52, 58, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO HS RX* tamsulosin 0.4 mg 1 ta...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (48, 54, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"omeprazole 20 mg PO BID RX *omeprazole 20 mg 1 cap...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (47, 54, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet [**Hospital1 **]: One ...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amiodarone hcl 200 mg Tablet Sig: Two (2) Tablet P...\" with entities \"[(0, 14, 'DRUG'), (15, 21, 'STRENGTH'), (22, 28, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2. 4W 2 gram/100 mL Piggyback [** Ho...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (87, 100, ...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient lab Work Weekly Chem-7, CBC with DIFF, ...\" with entities \"[(0, 14, 'DRUG'), (32, 33, 'STRENGTH'), (20, 26, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "\n",
            " 10%|█         | 1/10 [08:31<1:16:42, 511.33s/it]\u001b[A\n",
            " 20%|██        | 2/10 [17:49<1:11:50, 538.82s/it]\u001b[A\n",
            " 30%|███       | 3/10 [27:18<1:04:28, 552.62s/it]\u001b[A\n",
            " 40%|████      | 4/10 [36:57<56:17, 562.98s/it]  \u001b[A\n",
            " 50%|█████     | 5/10 [46:38<47:27, 569.55s/it]\u001b[A\n",
            " 60%|██████    | 6/10 [56:21<38:15, 573.98s/it]\u001b[A\n",
            " 70%|███████   | 7/10 [1:06:02<28:48, 576.31s/it]\u001b[A\n",
            " 80%|████████  | 8/10 [1:15:42<19:15, 577.69s/it]\u001b[A\n",
            " 90%|█████████ | 9/10 [1:25:28<09:40, 580.10s/it]\u001b[A\n",
            "100%|██████████| 10/10 [1:35:03<00:00, 570.35s/it]\n",
            " 40%|████      | 2/5 [1:54:26<3:11:51, 3837.01s/it]\n",
            "  0%|          | 0/10 [00:00<?, ?it/s]\u001b[A/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"na-hydrocodone-4-50 mcg/dose Disk with Device Sig:...\" with entities \"[(0, 2, 'DRUG'), (15, 23, 'STRENGTH'), (29, 45, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vancomycin hcl 1000 mg Capsule Sig: One (1) Capsul...\" with entities \"[(0, 14, 'DRUG'), (15, 16, 'STRENGTH'), (23, 30, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 5 mg Tablet Sig: One (1) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"clonidine 0.3 mg/24 hr Patch Weekly Sig: One (1) P...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (23, 28, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"omeprazole 20 mg PO BID RX *omeprazole 20 mg 1 cap...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (47, 54, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"docusate sodium-100 mg Capsule Sig: One (1) Capsul...\" with entities \"[(0, 15, 'DRUG'), (16, 22, 'STRENGTH'), (23, 30, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"latanoprost 0.005 % Drops Sig: One (1) Drop Ophtha...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (81, 87, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole 40 mg Tablet, Delayed Release (E.C.) ...\" with entities \"[(0, 12, 'DRUG'), (13, 18, 'STRENGTH'), (19, 25, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"sertraline 50 mg Tablet Sig: Five (5) Tablet PO DA...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (17, 23, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"folic acid 1 mg Tablet Sig: One (1) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q4H RX* acetaminophen 500 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q4H RX* acetaminophen 325 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 1,000 unit Tablet, Chewable Sig: One (...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (23, 29, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO HS RX* tamsulosin 0.4 mg 1 ca...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (48, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 20 mg PO DAILY Duration: 2 Days Tapered...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (86, 92, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D2 50.000 unit Tablet Sig: One (1) Tablet ...\" with entities \"[(0, 9, 'DRUG'), (11, 17, 'STRENGTH'), (23, 29, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"cyanocobalamin (vitamin B-12) 1,000 mcg Tablet Sig...\" with entities \"[(0, 14, 'DRUG'), (26, 28, 'STRENGTH'), (40, 46, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet Sig: One (1) Tablet PO...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet, Chewable Sig: One (1)...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"levothyroxine 100 mcg PO DAILY RX* levothyroxine 2...\" with entities \"[(0, 13, 'DRUG'), (14, 21, 'STRENGTH'), (56, 62, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q6H RX* acetaminophen 500 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"clopidogrel 75 mg PO DAILY RX *clopidogrel 75 mg 1...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (51, 57, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"latanoprost 0.005 % Drops Sig: One (1) Drop Ophtha...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (81, 88, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"multivitamins 1 TAB PO DAILY RX* multivitamins 1 t...\" with entities \"[(0, 13, 'DRUG'), (14, 15, 'STRENGTH'), (49, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole sodium 40 mg Tablet, Delayed Release ...\" with entities \"[(0, 19, 'DRUG'), (20, 25, 'STRENGTH'), (26, 32, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amylase-lipase-protease 33,200-10,000- 37,500 unit...\" with entities \"[(0, 7, 'DRUG'), (24, 37, 'STRENGTH'), (51, 58, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"insulin Syringes Low dose U-100 syringes 25-26 gau...\" with entities \"[(0, 16, 'DRUG'), (28, 31, 'STRENGTH')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"hydralazine 75 mg PO Q8H please hold for SBP <100 ...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (76, 82, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"clonidine 0.1 mg/24 hr Patch Weekly Sig: One (1) P...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (23, 28, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"multivitamins 1 TAB PO DAILY RX* multivitamin tabl...\" with entities \"[(0, 13, 'DRUG'), (14, 15, 'STRENGTH'), (46, 52, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q6H RX* acetaminophen 325 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2.4W 2 g/100 mL Piggyback Sig: Two (...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (77, 90, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient [**Name (NI) **] Work PT, PTT, INR, Che...\" with entities \"[(0, 10, 'DRUG'), (52, 53, 'STRENGTH'), (70, 82, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO DAILY RX *tamsulosin 0.4 mg 1...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (51, 58, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"levothyroxine 100 mcg PO DAILY RX* levothyroxine 1...\" with entities \"[(0, 13, 'DRUG'), (14, 21, 'STRENGTH'), (57, 63, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient lab Work Patient will require once week...\" with entities \"[(0, 14, 'DRUG'), (63, 64, 'STRENGTH')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"torsemide 100 mg PO DAILY Hold for SBP <90 RX *tor...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (66, 72, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"docusate sodium 100 mg PO BID RX *docusate sodium ...\" with entities \"[(0, 15, 'DRUG'), (16, 22, 'STRENGTH'), (59, 66, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2. 4W 2 gram/100 mL Piggyback Sig: O...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (87, 94, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole 40 mg PO Q12H RX *pantoprazole 40 mg ...\" with entities \"[(0, 12, 'DRUG'), (13, 18, 'STRENGTH'), (52, 58, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 60 mg PO DAILY RX *prednisone 10 mg 1 T...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (49, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acyclovir 400 mg PO Q8H RX *acyclovir 400 mg 1 tab...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (47, 53, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO HS RX *tamsulosin 0.4 mg 1 ca...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (48, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q6H RX* acetaminophen 650 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2.4W 2 gram/100 mL Piggyback [**Tele...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (100, 113,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 60 mg PO DAILY Duration: 2 Days Tapered...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (96, 102, ...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"metoprolol succinate xl 50 mg PO DAILY RX *metopro...\" with entities \"[(0, 20, 'DRUG'), (24, 29, 'STRENGTH'), (72, 78, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amoxicillin 500 mg PO Q8H RX *amoxicillin 500 mg 1...\" with entities \"[(0, 11, 'DRUG'), (12, 18, 'STRENGTH'), (51, 57, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 5 mg PO DAILY RX* amlodipine 5 mg 1 tab...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (47, 53, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 10 mg PO once a day. Disp:*30 Tablet(s)...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (41, 47, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2. 4W 2 g/100 mL Piggyback Sig: Two ...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (77, 90, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"levothyroxine 100 mcg PO DAILY RX* levothyroxine 5...\" with entities \"[(0, 13, 'DRUG'), (14, 21, 'STRENGTH'), (56, 62, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"voriconazole 200 mg PO Q12H RX *voriconazole 200 m...\" with entities \"[(0, 12, 'DRUG'), (13, 19, 'STRENGTH'), (54, 60, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"novolin 70/30 InnoLet 100 unit/mL (70-30) Insulin ...\" with entities \"[(0, 7, 'DRUG'), (8, 10, 'STRENGTH'), (50, 53, 'FO...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"bisacodyl 5 mg Tablet, Delayed Release (E.C.) Sig:...\" with entities \"[(0, 9, 'DRUG'), (10, 14, 'STRENGTH'), (15, 21, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"cyanocobalamin 1000 mcg Tablet Sig: One (1) Tablet...\" with entities \"[(0, 14, 'DRUG'), (15, 16, 'STRENGTH'), (24, 30, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient lab Work Weekly Chem-7, CBC with DIFF, ...\" with entities \"[(0, 14, 'DRUG'), (32, 33, 'STRENGTH'), (20, 26, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"duoneb 0.5 mg-3 mg(2.5 mg base)/3 mL Solution for ...\" with entities \"[(0, 6, 'DRUG'), (7, 13, 'STRENGTH'), (37, 45, 'FO...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient [**Month/Day/Year **] Work Please check...\" with entities \"[(0, 10, 'DRUG'), (56, 58, 'STRENGTH')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 40 mg PO DAILY Duration: 2 Days Tapered...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (86, 92, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2. 4W 2 g/100 mL Piggyback Sig: One ...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (84, 91, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"insulin syringe-needle U-100 1 mL 26 x [**2-14**] ...\" with entities \"[(0, 15, 'DRUG'), (25, 28, 'STRENGTH'), (100, 103,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"ciprofloxacin hcl 500 mg PO Q12H Duration: 7 Days ...\" with entities \"[(0, 17, 'DRUG'), (18, 24, 'STRENGTH'), (85, 91, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"silver sulfadiazine 1 % Cream Sig: One (1) Appl To...\" with entities \"[(0, 19, 'DRUG'), (20, 21, 'STRENGTH'), (80, 86, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet [**Hospital1 **]: One ...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"hydromorphone (Dilaudid) 2 mg PO Q4H:PRN Pain RX *...\" with entities \"[(0, 13, 'DRUG'), (25, 29, 'STRENGTH'), (91, 97, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 5 mg Tablet Sig: Two (2) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 5 mg Tablet Sig: One (1) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet, Chewable Sig: [**12-1...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"mycophenolate mofetil 250 mg Capsule [**Hospital1 ...\" with entities \"[(0, 21, 'DRUG'), (22, 28, 'STRENGTH'), (29, 36, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D2 50,000 unit Capsule Sig: One (1) Capsul...\" with entities \"[(0, 9, 'DRUG'), (11, 17, 'STRENGTH'), (23, 30, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole 40 mg PO Q24H RX *pantoprazole 40 mg ...\" with entities \"[(0, 12, 'DRUG'), (13, 18, 'STRENGTH'), (52, 58, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"metolazone 2.5 mg Tablet Sig: One (1) Tablet PO DA...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (18, 24, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"metoprolol tartrate 12.5 mg PO BID hold for SBP < ...\" with entities \"[(0, 19, 'DRUG'), (20, 27, 'STRENGTH'), (108, 114,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin B-12 1,000 mcg Tablet Sig: One (1) Tablet ...\" with entities \"[(0, 9, 'DRUG'), (10, 12, 'STRENGTH'), (23, 29, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2. 4W 2 gram/100 mL Piggyback [** Ho...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (87, 100, ...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"montelukast sodium 10 mg PO DAILY RX *Singulair 10...\" with entities \"[(0, 18, 'DRUG'), (19, 24, 'STRENGTH'), (56, 62, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amiodarone hcl 200 mg Tablet Sig: Two (2) Tablet P...\" with entities \"[(0, 14, 'DRUG'), (15, 21, 'STRENGTH'), (22, 28, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"hexavitamin     tablet [**Hospital1 **]: One (1) T...\" with entities \"[(0, 11, 'DRUG'), (34, 35, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO HS RX* tamsulosin 0.4 mg 1 ta...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (48, 54, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient lab Work Please obtain weekly CBC, BUN/...\" with entities \"[(0, 14, 'DRUG'), (114, 115, 'STRENGTH'), (34, 40,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D3  Oral\n",
            "\" with entities \"[(0, 9, 'DRUG')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"furosemide 40 mg Tablet Sig: One (1) Tablet PO DAI...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (17, 23, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 325-650 mg PO Q6H:PRN pain RX *aceta...\" with entities \"[(0, 13, 'DRUG'), (14, 24, 'STRENGTH'), (68, 74, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "\n",
            " 10%|█         | 1/10 [08:32<1:16:54, 512.69s/it]\u001b[A\n",
            " 20%|██        | 2/10 [18:07<1:13:13, 549.16s/it]\u001b[A\n",
            " 30%|███       | 3/10 [27:36<1:05:08, 558.42s/it]\u001b[A\n",
            " 40%|████      | 4/10 [37:03<56:10, 561.70s/it]  \u001b[A\n",
            " 50%|█████     | 5/10 [46:34<47:05, 565.00s/it]\u001b[A\n",
            " 60%|██████    | 6/10 [56:06<37:49, 567.40s/it]\u001b[A\n",
            " 70%|███████   | 7/10 [1:05:42<28:30, 570.23s/it]\u001b[A\n",
            " 80%|████████  | 8/10 [1:15:21<19:06, 573.10s/it]\u001b[A\n",
            " 90%|█████████ | 9/10 [1:25:16<09:39, 579.77s/it]\u001b[A\n",
            "100%|██████████| 10/10 [1:34:54<00:00, 569.41s/it]\n",
            " 60%|██████    | 3/5 [3:29:37<2:36:25, 4692.73s/it]\n",
            "  0%|          | 0/10 [00:00<?, ?it/s]\u001b[A/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"docusate sodium-100 mg Capsule Sig: One (1) Capsul...\" with entities \"[(0, 15, 'DRUG'), (16, 22, 'STRENGTH'), (23, 30, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet, Chewable Sig: [**12-1...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"cyanocobalamin (vitamin B-12) 1,000 mcg Tablet Sig...\" with entities \"[(0, 14, 'DRUG'), (26, 28, 'STRENGTH'), (40, 46, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q6H RX* acetaminophen 650 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q4H RX* acetaminophen 325 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"levothyroxine 100 mcg PO DAILY RX* levothyroxine 5...\" with entities \"[(0, 13, 'DRUG'), (14, 21, 'STRENGTH'), (56, 62, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"clopidogrel 75 mg PO DAILY RX *clopidogrel 75 mg 1...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (51, 57, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 5 mg PO DAILY RX* amlodipine 5 mg 1 tab...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (47, 53, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q6H RX* acetaminophen 325 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 40 mg PO DAILY Duration: 2 Days Tapered...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (86, 92, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole sodium 40 mg Tablet, Delayed Release ...\" with entities \"[(0, 19, 'DRUG'), (20, 25, 'STRENGTH'), (26, 32, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q4H RX* acetaminophen 500 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"na-hydrocodone-4-50 mcg/dose Disk with Device Sig:...\" with entities \"[(0, 2, 'DRUG'), (15, 23, 'STRENGTH'), (29, 45, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"metoprolol tartrate 12.5 mg PO BID hold for SBP < ...\" with entities \"[(0, 19, 'DRUG'), (20, 27, 'STRENGTH'), (108, 114,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"duoneb 0.5 mg-3 mg(2.5 mg base)/3 mL Solution for ...\" with entities \"[(0, 6, 'DRUG'), (7, 13, 'STRENGTH'), (37, 45, 'FO...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vancomycin hcl 1000 mg Capsule Sig: One (1) Capsul...\" with entities \"[(0, 14, 'DRUG'), (15, 16, 'STRENGTH'), (23, 30, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet Sig: One (1) Tablet PO...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 5 mg Tablet Sig: One (1) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient [**Month/Day/Year **] Work Please check...\" with entities \"[(0, 10, 'DRUG'), (56, 58, 'STRENGTH')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole 40 mg Tablet, Delayed Release (E.C.) ...\" with entities \"[(0, 12, 'DRUG'), (13, 18, 'STRENGTH'), (19, 25, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q6H RX* acetaminophen 500 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"ciprofloxacin hcl 500 mg PO Q12H Duration: 7 Days ...\" with entities \"[(0, 17, 'DRUG'), (18, 24, 'STRENGTH'), (85, 91, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D3  Oral\n",
            "\" with entities \"[(0, 9, 'DRUG')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"clonidine 0.3 mg/24 hr Patch Weekly Sig: One (1) P...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (23, 28, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"clonidine 0.1 mg/24 hr Patch Weekly Sig: One (1) P...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (23, 28, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet, Chewable Sig: One (1)...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO HS RX *tamsulosin 0.4 mg 1 ca...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (48, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"multivitamins 1 TAB PO DAILY RX* multivitamin tabl...\" with entities \"[(0, 13, 'DRUG'), (14, 15, 'STRENGTH'), (46, 52, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"insulin Syringes Low dose U-100 syringes 25-26 gau...\" with entities \"[(0, 16, 'DRUG'), (28, 31, 'STRENGTH')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2.4W 2 gram/100 mL Piggyback [**Tele...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (100, 113,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"cyanocobalamin 1000 mcg Tablet Sig: One (1) Tablet...\" with entities \"[(0, 14, 'DRUG'), (15, 16, 'STRENGTH'), (24, 30, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 1,000 unit Tablet, Chewable Sig: One (...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (23, 29, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient lab Work Patient will require once week...\" with entities \"[(0, 14, 'DRUG'), (63, 64, 'STRENGTH')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO HS RX* tamsulosin 0.4 mg 1 ca...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (48, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"levothyroxine 100 mcg PO DAILY RX* levothyroxine 2...\" with entities \"[(0, 13, 'DRUG'), (14, 21, 'STRENGTH'), (56, 62, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2. 4W 2 g/100 mL Piggyback Sig: One ...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (84, 91, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient lab Work Weekly Chem-7, CBC with DIFF, ...\" with entities \"[(0, 14, 'DRUG'), (32, 33, 'STRENGTH'), (20, 26, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"latanoprost 0.005 % Drops Sig: One (1) Drop Ophtha...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (81, 87, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2. 4W 2 g/100 mL Piggyback Sig: Two ...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (77, 90, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"levothyroxine 100 mcg PO DAILY RX* levothyroxine 1...\" with entities \"[(0, 13, 'DRUG'), (14, 21, 'STRENGTH'), (57, 63, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"montelukast sodium 10 mg PO DAILY RX *Singulair 10...\" with entities \"[(0, 18, 'DRUG'), (19, 24, 'STRENGTH'), (56, 62, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 60 mg PO DAILY RX *prednisone 10 mg 1 T...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (49, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D2 50.000 unit Tablet Sig: One (1) Tablet ...\" with entities \"[(0, 9, 'DRUG'), (11, 17, 'STRENGTH'), (23, 29, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2.4W 2 g/100 mL Piggyback Sig: Two (...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (77, 90, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"latanoprost 0.005 % Drops Sig: One (1) Drop Ophtha...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (81, 88, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"furosemide 40 mg Tablet Sig: One (1) Tablet PO DAI...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (17, 23, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"voriconazole 200 mg PO Q12H RX *voriconazole 200 m...\" with entities \"[(0, 12, 'DRUG'), (13, 19, 'STRENGTH'), (54, 60, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"docusate sodium 100 mg PO BID RX *docusate sodium ...\" with entities \"[(0, 15, 'DRUG'), (16, 22, 'STRENGTH'), (59, 66, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 325-650 mg PO Q6H:PRN pain RX *aceta...\" with entities \"[(0, 13, 'DRUG'), (14, 24, 'STRENGTH'), (68, 74, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"multivitamins 1 TAB PO DAILY RX* multivitamins 1 t...\" with entities \"[(0, 13, 'DRUG'), (14, 15, 'STRENGTH'), (49, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"hexavitamin     tablet [**Hospital1 **]: One (1) T...\" with entities \"[(0, 11, 'DRUG'), (34, 35, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"hydromorphone (Dilaudid) 2 mg PO Q4H:PRN Pain RX *...\" with entities \"[(0, 13, 'DRUG'), (25, 29, 'STRENGTH'), (91, 97, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 60 mg PO DAILY Duration: 2 Days Tapered...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (96, 102, ...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO HS RX* tamsulosin 0.4 mg 1 ta...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (48, 54, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 10 mg PO once a day. Disp:*30 Tablet(s)...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (41, 47, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"omeprazole 20 mg PO BID RX *omeprazole 20 mg 1 cap...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (47, 54, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2. 4W 2 gram/100 mL Piggyback [** Ho...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (87, 100, ...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"mycophenolate mofetil 250 mg Capsule [**Hospital1 ...\" with entities \"[(0, 21, 'DRUG'), (22, 28, 'STRENGTH'), (29, 36, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"sertraline 50 mg Tablet Sig: Five (5) Tablet PO DA...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (17, 23, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole 40 mg PO Q12H RX *pantoprazole 40 mg ...\" with entities \"[(0, 12, 'DRUG'), (13, 18, 'STRENGTH'), (52, 58, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amiodarone hcl 200 mg Tablet Sig: Two (2) Tablet P...\" with entities \"[(0, 14, 'DRUG'), (15, 21, 'STRENGTH'), (22, 28, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 5 mg Tablet Sig: One (1) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D2 50,000 unit Capsule Sig: One (1) Capsul...\" with entities \"[(0, 9, 'DRUG'), (11, 17, 'STRENGTH'), (23, 30, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"folic acid 1 mg Tablet Sig: One (1) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amoxicillin 500 mg PO Q8H RX *amoxicillin 500 mg 1...\" with entities \"[(0, 11, 'DRUG'), (12, 18, 'STRENGTH'), (51, 57, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acyclovir 400 mg PO Q8H RX *acyclovir 400 mg 1 tab...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (47, 53, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"metoprolol succinate xl 50 mg PO DAILY RX *metopro...\" with entities \"[(0, 20, 'DRUG'), (24, 29, 'STRENGTH'), (72, 78, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"silver sulfadiazine 1 % Cream Sig: One (1) Appl To...\" with entities \"[(0, 19, 'DRUG'), (20, 21, 'STRENGTH'), (80, 86, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"torsemide 100 mg PO DAILY Hold for SBP <90 RX *tor...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (66, 72, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"novolin 70/30 InnoLet 100 unit/mL (70-30) Insulin ...\" with entities \"[(0, 7, 'DRUG'), (8, 10, 'STRENGTH'), (50, 53, 'FO...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient lab Work Please obtain weekly CBC, BUN/...\" with entities \"[(0, 14, 'DRUG'), (114, 115, 'STRENGTH'), (34, 40,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient [**Name (NI) **] Work PT, PTT, INR, Che...\" with entities \"[(0, 10, 'DRUG'), (52, 53, 'STRENGTH'), (70, 82, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet [**Hospital1 **]: One ...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 20 mg PO DAILY Duration: 2 Days Tapered...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (86, 92, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"hydralazine 75 mg PO Q8H please hold for SBP <100 ...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (76, 82, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 5 mg Tablet Sig: Two (2) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"insulin syringe-needle U-100 1 mL 26 x [**2-14**] ...\" with entities \"[(0, 15, 'DRUG'), (25, 28, 'STRENGTH'), (100, 103,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amylase-lipase-protease 33,200-10,000- 37,500 unit...\" with entities \"[(0, 7, 'DRUG'), (24, 37, 'STRENGTH'), (51, 58, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole 40 mg PO Q24H RX *pantoprazole 40 mg ...\" with entities \"[(0, 12, 'DRUG'), (13, 18, 'STRENGTH'), (52, 58, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO DAILY RX *tamsulosin 0.4 mg 1...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (51, 58, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2. 4W 2 gram/100 mL Piggyback Sig: O...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (87, 94, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin B-12 1,000 mcg Tablet Sig: One (1) Tablet ...\" with entities \"[(0, 9, 'DRUG'), (10, 12, 'STRENGTH'), (23, 29, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"bisacodyl 5 mg Tablet, Delayed Release (E.C.) Sig:...\" with entities \"[(0, 9, 'DRUG'), (10, 14, 'STRENGTH'), (15, 21, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"metolazone 2.5 mg Tablet Sig: One (1) Tablet PO DA...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (18, 24, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "\n",
            " 10%|█         | 1/10 [08:13<1:14:03, 493.74s/it]\u001b[A\n",
            " 20%|██        | 2/10 [17:25<1:10:23, 527.92s/it]\u001b[A\n",
            " 30%|███       | 3/10 [26:39<1:02:57, 539.65s/it]\u001b[A\n",
            " 40%|████      | 4/10 [36:02<54:54, 549.04s/it]  \u001b[A\n",
            " 50%|█████     | 5/10 [45:24<46:08, 553.67s/it]\u001b[A\n",
            " 60%|██████    | 6/10 [54:51<37:12, 558.12s/it]\u001b[A\n",
            " 70%|███████   | 7/10 [1:04:28<28:13, 564.45s/it]\u001b[A\n",
            " 80%|████████  | 8/10 [1:14:06<18:57, 568.83s/it]\u001b[A\n",
            " 90%|█████████ | 9/10 [1:23:46<09:32, 572.07s/it]\u001b[A\n",
            "100%|██████████| 10/10 [1:33:24<00:00, 560.41s/it]\n",
            " 80%|████████  | 4/5 [5:03:18<1:24:19, 5059.25s/it]\n",
            "  0%|          | 0/10 [00:00<?, ?it/s]\u001b[A/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"duoneb 0.5 mg-3 mg(2.5 mg base)/3 mL Solution for ...\" with entities \"[(0, 6, 'DRUG'), (7, 13, 'STRENGTH'), (37, 45, 'FO...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO HS RX* tamsulosin 0.4 mg 1 ta...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (48, 54, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q6H RX* acetaminophen 500 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"docusate sodium 100 mg PO BID RX *docusate sodium ...\" with entities \"[(0, 15, 'DRUG'), (16, 22, 'STRENGTH'), (59, 66, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q6H RX* acetaminophen 650 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet, Chewable Sig: One (1)...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q4H RX* acetaminophen 325 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"hexavitamin     tablet [**Hospital1 **]: One (1) T...\" with entities \"[(0, 11, 'DRUG'), (34, 35, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q6H RX* acetaminophen 325 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"bisacodyl 5 mg Tablet, Delayed Release (E.C.) Sig:...\" with entities \"[(0, 9, 'DRUG'), (10, 14, 'STRENGTH'), (15, 21, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole sodium 40 mg Tablet, Delayed Release ...\" with entities \"[(0, 19, 'DRUG'), (20, 25, 'STRENGTH'), (26, 32, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet, Chewable Sig: [**12-1...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2. 4W 2 gram/100 mL Piggyback Sig: O...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (87, 94, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 10 mg PO once a day. Disp:*30 Tablet(s)...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (41, 47, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"multivitamins 1 TAB PO DAILY RX* multivitamins 1 t...\" with entities \"[(0, 13, 'DRUG'), (14, 15, 'STRENGTH'), (49, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"folic acid 1 mg Tablet Sig: One (1) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"na-hydrocodone-4-50 mcg/dose Disk with Device Sig:...\" with entities \"[(0, 2, 'DRUG'), (15, 23, 'STRENGTH'), (29, 45, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO HS RX* tamsulosin 0.4 mg 1 ca...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (48, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vancomycin hcl 1000 mg Capsule Sig: One (1) Capsul...\" with entities \"[(0, 14, 'DRUG'), (15, 16, 'STRENGTH'), (23, 30, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"insulin Syringes Low dose U-100 syringes 25-26 gau...\" with entities \"[(0, 16, 'DRUG'), (28, 31, 'STRENGTH')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"cyanocobalamin (vitamin B-12) 1,000 mcg Tablet Sig...\" with entities \"[(0, 14, 'DRUG'), (26, 28, 'STRENGTH'), (40, 46, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole 40 mg Tablet, Delayed Release (E.C.) ...\" with entities \"[(0, 12, 'DRUG'), (13, 18, 'STRENGTH'), (19, 25, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"cyanocobalamin 1000 mcg Tablet Sig: One (1) Tablet...\" with entities \"[(0, 14, 'DRUG'), (15, 16, 'STRENGTH'), (24, 30, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"silver sulfadiazine 1 % Cream Sig: One (1) Appl To...\" with entities \"[(0, 19, 'DRUG'), (20, 21, 'STRENGTH'), (80, 86, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"latanoprost 0.005 % Drops Sig: One (1) Drop Ophtha...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (81, 88, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 60 mg PO DAILY RX *prednisone 10 mg 1 T...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (49, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"clonidine 0.1 mg/24 hr Patch Weekly Sig: One (1) P...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (23, 28, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet Sig: One (1) Tablet PO...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO DAILY RX *tamsulosin 0.4 mg 1...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (51, 58, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole 40 mg PO Q12H RX *pantoprazole 40 mg ...\" with entities \"[(0, 12, 'DRUG'), (13, 18, 'STRENGTH'), (52, 58, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"pantoprazole 40 mg PO Q24H RX *pantoprazole 40 mg ...\" with entities \"[(0, 12, 'DRUG'), (13, 18, 'STRENGTH'), (52, 58, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 40 mg PO DAILY Duration: 2 Days Tapered...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (86, 92, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 1,000 unit Tablet, Chewable Sig: One (...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (23, 29, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"multivitamins 1 TAB PO DAILY RX* multivitamin tabl...\" with entities \"[(0, 13, 'DRUG'), (14, 15, 'STRENGTH'), (46, 52, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 5 mg PO DAILY RX* amlodipine 5 mg 1 tab...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (47, 53, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2. 4W 2 g/100 mL Piggyback Sig: One ...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (84, 91, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 5 mg Tablet Sig: One (1) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 650 mg PO Q4H RX* acetaminophen 500 ...\" with entities \"[(0, 13, 'DRUG'), (14, 20, 'STRENGTH'), (55, 61, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amiodarone hcl 200 mg Tablet Sig: Two (2) Tablet P...\" with entities \"[(0, 14, 'DRUG'), (15, 21, 'STRENGTH'), (22, 28, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"clonidine 0.3 mg/24 hr Patch Weekly Sig: One (1) P...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (23, 28, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D2 50.000 unit Tablet Sig: One (1) Tablet ...\" with entities \"[(0, 9, 'DRUG'), (11, 17, 'STRENGTH'), (23, 29, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amylase-lipase-protease 33,200-10,000- 37,500 unit...\" with entities \"[(0, 7, 'DRUG'), (24, 37, 'STRENGTH'), (51, 58, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"metoprolol succinate xl 50 mg PO DAILY RX *metopro...\" with entities \"[(0, 20, 'DRUG'), (24, 29, 'STRENGTH'), (72, 78, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"docusate sodium-100 mg Capsule Sig: One (1) Capsul...\" with entities \"[(0, 15, 'DRUG'), (16, 22, 'STRENGTH'), (23, 30, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"levothyroxine 100 mcg PO DAILY RX* levothyroxine 5...\" with entities \"[(0, 13, 'DRUG'), (14, 21, 'STRENGTH'), (56, 62, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient [**Month/Day/Year **] Work Please check...\" with entities \"[(0, 10, 'DRUG'), (56, 58, 'STRENGTH')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient lab Work Please obtain weekly CBC, BUN/...\" with entities \"[(0, 14, 'DRUG'), (114, 115, 'STRENGTH'), (34, 40,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2. 4W 2 g/100 mL Piggyback Sig: Two ...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (77, 90, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"tamsulosin 0.4 mg PO HS RX *tamsulosin 0.4 mg 1 ca...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (48, 55, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"latanoprost 0.005 % Drops Sig: One (1) Drop Ophtha...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (81, 87, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"levothyroxine 100 mcg PO DAILY RX* levothyroxine 1...\" with entities \"[(0, 13, 'DRUG'), (14, 21, 'STRENGTH'), (57, 63, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"hydralazine 75 mg PO Q8H please hold for SBP <100 ...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (76, 82, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 60 mg PO DAILY Duration: 2 Days Tapered...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (96, 102, ...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D2 50,000 unit Capsule Sig: One (1) Capsul...\" with entities \"[(0, 9, 'DRUG'), (11, 17, 'STRENGTH'), (23, 30, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"insulin syringe-needle U-100 1 mL 26 x [**2-14**] ...\" with entities \"[(0, 15, 'DRUG'), (25, 28, 'STRENGTH'), (100, 103,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"hydromorphone (Dilaudid) 2 mg PO Q4H:PRN Pain RX *...\" with entities \"[(0, 13, 'DRUG'), (25, 29, 'STRENGTH'), (91, 97, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"metolazone 2.5 mg Tablet Sig: One (1) Tablet PO DA...\" with entities \"[(0, 10, 'DRUG'), (11, 17, 'STRENGTH'), (18, 24, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 5 mg Tablet Sig: Two (2) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"voriconazole 200 mg PO Q12H RX *voriconazole 200 m...\" with entities \"[(0, 12, 'DRUG'), (13, 19, 'STRENGTH'), (54, 60, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D3  Oral\n",
            "\" with entities \"[(0, 9, 'DRUG')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amoxicillin 500 mg PO Q8H RX *amoxicillin 500 mg 1...\" with entities \"[(0, 11, 'DRUG'), (12, 18, 'STRENGTH'), (51, 57, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"levothyroxine 100 mcg PO DAILY RX* levothyroxine 2...\" with entities \"[(0, 13, 'DRUG'), (14, 21, 'STRENGTH'), (56, 62, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2.4W 2 gram/100 mL Piggyback [**Tele...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (100, 113,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acetaminophen 325-650 mg PO Q6H:PRN pain RX *aceta...\" with entities \"[(0, 13, 'DRUG'), (14, 24, 'STRENGTH'), (68, 74, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"sertraline 50 mg Tablet Sig: Five (5) Tablet PO DA...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (17, 23, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient [**Name (NI) **] Work PT, PTT, INR, Che...\" with entities \"[(0, 10, 'DRUG'), (52, 53, 'STRENGTH'), (70, 82, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"mycophenolate mofetil 250 mg Capsule [**Hospital1 ...\" with entities \"[(0, 21, 'DRUG'), (22, 28, 'STRENGTH'), (29, 36, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"acyclovir 400 mg PO Q8H RX *acyclovir 400 mg 1 tab...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (47, 53, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"metoprolol tartrate 12.5 mg PO BID hold for SBP < ...\" with entities \"[(0, 19, 'DRUG'), (20, 27, 'STRENGTH'), (108, 114,...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin D-3 400 unit Tablet [**Hospital1 **]: One ...\" with entities \"[(0, 9, 'DRUG'), (10, 11, 'STRENGTH'), (21, 27, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2. 4W 2 gram/100 mL Piggyback [** Ho...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (87, 100, ...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"omeprazole 20 mg PO BID RX *omeprazole 20 mg 1 cap...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (47, 54, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient lab Work Patient will require once week...\" with entities \"[(0, 14, 'DRUG'), (63, 64, 'STRENGTH')]\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"furosemide 40 mg Tablet Sig: One (1) Tablet PO DAI...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (17, 23, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"outpatient lab Work Weekly Chem-7, CBC with DIFF, ...\" with entities \"[(0, 14, 'DRUG'), (32, 33, 'STRENGTH'), (20, 26, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"amlodipine 5 mg Tablet Sig: One (1) Tablet PO DAIL...\" with entities \"[(0, 10, 'DRUG'), (11, 15, 'STRENGTH'), (16, 22, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"torsemide 100 mg PO DAILY Hold for SBP <90 RX *tor...\" with entities \"[(0, 9, 'DRUG'), (10, 16, 'STRENGTH'), (66, 72, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"clopidogrel 75 mg PO DAILY RX *clopidogrel 75 mg 1...\" with entities \"[(0, 11, 'DRUG'), (12, 17, 'STRENGTH'), (51, 57, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"vitamin B-12 1,000 mcg Tablet Sig: One (1) Tablet ...\" with entities \"[(0, 9, 'DRUG'), (10, 12, 'STRENGTH'), (23, 29, 'F...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"ciprofloxacin hcl 500 mg PO Q12H Duration: 7 Days ...\" with entities \"[(0, 17, 'DRUG'), (18, 24, 'STRENGTH'), (85, 91, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"montelukast sodium 10 mg PO DAILY RX *Singulair 10...\" with entities \"[(0, 18, 'DRUG'), (19, 24, 'STRENGTH'), (56, 62, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"nafcillin in D2.4W 2 g/100 mL Piggyback Sig: Two (...\" with entities \"[(0, 12, 'DRUG'), (14, 15, 'STRENGTH'), (77, 90, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"prednisone 20 mg PO DAILY Duration: 2 Days Tapered...\" with entities \"[(0, 10, 'DRUG'), (11, 16, 'STRENGTH'), (86, 92, '...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/spacy/training/iob_utils.py:149: UserWarning: [W030] Some entities could not be aligned in the text \"novolin 70/30 InnoLet 100 unit/mL (70-30) Insulin ...\" with entities \"[(0, 7, 'DRUG'), (8, 10, 'STRENGTH'), (50, 53, 'FO...\". Use `spacy.training.offsets_to_biluo_tags(nlp.make_doc(text), entities)` to check the alignment. Misaligned entities ('-') will be ignored during training.\n",
            "  warnings.warn(\n",
            "\n",
            " 10%|█         | 1/10 [08:22<1:15:20, 502.25s/it]\u001b[A\n",
            " 20%|██        | 2/10 [17:45<1:11:46, 538.35s/it]\u001b[A\n",
            " 30%|███       | 3/10 [26:46<1:02:56, 539.54s/it]\u001b[A\n",
            " 40%|████      | 4/10 [35:33<53:26, 534.36s/it]  \u001b[A\n",
            " 50%|█████     | 5/10 [44:14<44:07, 529.46s/it]\u001b[A\n",
            " 60%|██████    | 6/10 [52:51<35:01, 525.33s/it]\u001b[A\n",
            " 70%|███████   | 7/10 [1:01:30<26:09, 523.25s/it]\u001b[A\n",
            " 80%|████████  | 8/10 [1:10:11<17:25, 522.58s/it]\u001b[A\n",
            " 90%|█████████ | 9/10 [1:18:50<08:41, 521.62s/it]\u001b[A"
          ]
        }
      ],
      "source": [
        "if __name__ == \"__main__\":\n",
        "    dfs = []\n",
        "    for proportion in tqdm(range(5)):\n",
        "        dfs.append(train_evaluate(epochs=EPOCHS, squeeze=False, param=proportion))\n",
        "\n",
        "    with open(\"drive/MyDrive/SynDa_Health/DatasetAnalysis/Generations/dfsRealSynthetic.pkl\", \"wb\") as pickle_file:\n",
        "        pickle.dump(dfs, pickle_file)\n",
        "\n",
        "from google.colab import runtime\n",
        "runtime.unassign()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ackQuBG0AhtP"
      },
      "outputs": [],
      "source": [
        "with open(\"drive/MyDrive/SynDa_Health/DatasetAnalysis/Generations/dfsSynthetic.pkl\", \"rb\") as pickle_file:\n",
        "    loaded_dfs = pickle.load(pickle_file)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "id": "brWh_zgTtv81",
        "outputId": "159e7427-b5ea-4b42-f37d-f6efe0ba64a1"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
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              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Precision</th>\n",
              "      <th>Recall</th>\n",
              "      <th>F1 Score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>FREQUENCY</th>\n",
              "      <td>0.905547</td>\n",
              "      <td>0.927091</td>\n",
              "      <td>0.916193</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>FORM</th>\n",
              "      <td>0.990735</td>\n",
              "      <td>0.991347</td>\n",
              "      <td>0.991041</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ROUTE</th>\n",
              "      <td>0.988322</td>\n",
              "      <td>0.998758</td>\n",
              "      <td>0.993513</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DRUG</th>\n",
              "      <td>0.990191</td>\n",
              "      <td>0.995071</td>\n",
              "      <td>0.992625</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>STRENGTH</th>\n",
              "      <td>0.886115</td>\n",
              "      <td>0.942478</td>\n",
              "      <td>0.913428</td>\n",
              "    </tr>\n",
              "    <tr>\n",
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              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-d53b5718-7365-4dab-b5e2-d0b09d3566bf\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d53b5718-7365-4dab-b5e2-d0b09d3566bf')\"\n",
              "            title=\"Suggest charts.\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-d53b5718-7365-4dab-b5e2-d0b09d3566bf button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "           Precision    Recall  F1 Score\n",
              "FREQUENCY   0.905547  0.927091  0.916193\n",
              "FORM        0.990735  0.991347  0.991041\n",
              "ROUTE       0.988322  0.998758  0.993513\n",
              "DRUG        0.990191  0.995071  0.992625\n",
              "STRENGTH    0.886115  0.942478  0.913428\n",
              "overall     0.952387  0.972566  0.962370"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "loaded_dfs\n",
        "[i*100 for i in range(1, 6)]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4oQRFOgluMsv",
        "outputId": "b6e1a209-84c9-4b03-debb-2ce3236549b5"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.962370478094892"
            ]
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "loaded_dfs[0]['F1 Score']['overall']"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "machine_shape": "hm",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}