{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 23644, "status": "ok", "timestamp": 1669576254858, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "1jUAOZGjfYt8", "outputId": "11f8fd4f-1229-4ce4-96cf-6662f2c706b1" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Defaulting to user installation because normal site-packages is not writeable\n", "Requirement already satisfied: datasets in /home/user/.local/lib/python3.10/site-packages (2.6.1)\n", "Requirement already satisfied: transformers in /home/user/.local/lib/python3.10/site-packages (4.20.0)\n", "Requirement already satisfied: rouge-score in /home/user/.local/lib/python3.10/site-packages (0.1.2)\n", "Requirement already satisfied: nltk in /home/user/.local/lib/python3.10/site-packages (3.7)\n", "Requirement already satisfied: requests>=2.19.0 in 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/home/user/.local/lib/python3.10/site-packages (from transformers) (2022.9.13)\n", "Requirement already satisfied: six>=1.14.0 in /usr/lib/python3/dist-packages (from rouge-score) (1.16.0)\n", "Requirement already satisfied: absl-py in /home/user/.local/lib/python3.10/site-packages (from rouge-score) (1.2.0)\n", "Requirement already satisfied: joblib in /home/user/.local/lib/python3.10/site-packages (from nltk) (1.2.0)\n", "Requirement already satisfied: click in /usr/lib/python3/dist-packages (from nltk) (8.0.3)\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /home/user/.local/lib/python3.10/site-packages (from aiohttp->datasets) (6.0.2)\n", "Requirement already satisfied: aiosignal>=1.1.2 in /home/user/.local/lib/python3.10/site-packages (from aiohttp->datasets) (1.2.0)\n", "Requirement already satisfied: charset-normalizer<3.0,>=2.0 in /home/user/.local/lib/python3.10/site-packages (from aiohttp->datasets) (2.1.1)\n", "Requirement already satisfied: frozenlist>=1.1.1 in /home/user/.local/lib/python3.10/site-packages (from aiohttp->datasets) (1.3.1)\n", "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /home/user/.local/lib/python3.10/site-packages (from aiohttp->datasets) (4.0.2)\n", "Requirement already satisfied: attrs>=17.3.0 in /home/user/.local/lib/python3.10/site-packages (from aiohttp->datasets) (22.1.0)\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /home/user/.local/lib/python3.10/site-packages (from aiohttp->datasets) (1.8.1)\n", "Requirement already satisfied: typing-extensions>=3.7.4.3 in /home/user/.local/lib/python3.10/site-packages (from huggingface-hub<1.0.0,>=0.2.0->datasets) (4.4.0)\n", "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/lib/python3/dist-packages (from packaging->datasets) (2.4.7)\n", "Requirement already satisfied: urllib3>=1.25.10 in /usr/lib/python3/dist-packages (from responses<0.19->datasets) (1.26.5)\n", "Requirement already satisfied: python-dateutil>=2.8.1 in /home/user/.local/lib/python3.10/site-packages (from pandas->datasets) (2.8.2)\n", "Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3/dist-packages (from pandas->datasets) (2022.1)\n", "Requirement already satisfied: idna>=2.0 in /usr/lib/python3/dist-packages (from yarl<2.0,>=1.0->aiohttp->datasets) (3.3)\n" ] } ], "source": [ "! pip install datasets transformers rouge-score nltk" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 331, "referenced_widgets": [ "c38b3a29bdb24edf9f9ffc2a1d7ea136", "bd4317d0cace4fa8a9d4e6f55643457f", "1458810480da42cc81793be5af19d9fd", "8a1d2e60bee942129dad6a705ed03aa5", "a6f0d0297c6347c9a271bf33c27d3e8e", "80ed1d76abc34b0a9d95d937eae6b626", "3b9d888697984453978d8b82e167a7cd", "5468607c66ac4a5d893b66de7803a1da", "ec07fb7fa6754fe3ad81d7e8a128fac3", "bd84f71efa3942b69c337203376d6f9d", "50339a3619674663958b9cacc42224b0", "8916adf78ef54b1b80e04a3a4f9bdf8c", "a6bd07e3118f42e79e1b3d7675dd28e3", "14946c0a0b124448aec12ab62adecee9", "c7630aea76ff4160a20578c22f8e97e8", "75149305e7614e0b84cbebb12fc7340b", "f3fd3ead9fb44d0d9616d89b1992c7ba" ] }, "executionInfo": { "elapsed": 333, "status": "ok", "timestamp": 1669576266320, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "6IuXlV3Ffanz", "outputId": "bb952e77-9ef9-482e-c532-502b9b20462c" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Login successful\n", "Your token has been saved to /home/user/.huggingface/token\n", "\u001b[1m\u001b[31mAuthenticated through git-credential store but this isn't the helper defined on your machine.\n", "You might have to re-authenticate when pushing to the Hugging Face Hub. Run the following command in your terminal in case you want to set this credential helper as the default\n", "\n", "git config --global credential.helper store\u001b[0m\n" ] } ], "source": [ "from huggingface_hub import notebook_login\n", "\n", "notebook_login()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "!git config --global credential.helper store\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 1875, "status": "ok", "timestamp": 1669576287294, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "zA3LmEG9fu80", "outputId": "f9583b3c-db03-41e0-b153-b912a0020595" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1;31mE: \u001b[0mCould not open lock file /var/lib/dpkg/lock-frontend - open (13: Permission denied)\u001b[0m\r\n", "\u001b[1;31mE: \u001b[0mUnable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root?\u001b[0m\r\n" ] } ], "source": [ "!apt install git-lfs" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 2483, "status": "ok", "timestamp": 1669576292029, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "50K-4gBfgGRh", "outputId": "cf0ee968-30ef-44cc-e00c-1401fd6efe09" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "4.20.0\n" ] } ], "source": [ "import transformers\n", "\n", "print(transformers.__version__)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "executionInfo": { "elapsed": 358, "status": "ok", "timestamp": 1669576294061, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "ymFBPi-XgJ0_" }, "outputs": [], "source": [ "model_checkpoint = 'facebook/bart-large-cnn'" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 712, "referenced_widgets": [ "d2e8b31a5ff34826a0a9add966b3a612", "522be447cd3a49e5abc09c438405dd2c", "179dd0a736aa470a993585febe5c1462", "4e3e2875eb2b47abbdfd0994a1a1ab77", "56ac28edb6ca4415ba964f42d4d27bed", "83d334d4b71e4c07a1fc3dac8115f948", "c1aa4ce82ce44a6fbe342d6f9d27ace3", "6ff11cd026154544bee3ea10ceff2c2d", "3aef5fca9d01411dbf02c42bb9edd293", "fa597dbb89aa4f5fac6cc6e0a9859d59", "867595abfc9c4dd28a19346afb584534" ] }, "executionInfo": { "elapsed": 2879, "status": "ok", "timestamp": 1669576300418, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "57B0I_4zguys", "outputId": "0945df5a-9aee-4441-b006-55d10db99374" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/tmp/ipykernel_47026/939338506.py:3: FutureWarning: load_metric is deprecated and will be removed in the next major version of datasets. Use 'evaluate.load' instead, from the new library 🤗 Evaluate: https://huggingface.co/docs/evaluate\n", " load_metric('rouge')\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "c802d13e0abb4a44a77e3cb10af6651e", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Downloading builder script: 0%| | 0.00/2.16k [00:00>> rouge = datasets.load_metric('rouge')\n", " >>> predictions = [\"hello there\", \"general kenobi\"]\n", " >>> references = [\"hello there\", \"general kenobi\"]\n", " >>> results = rouge.compute(predictions=predictions, references=references)\n", " >>> print(list(results.keys()))\n", " ['rouge1', 'rouge2', 'rougeL', 'rougeLsum']\n", " >>> print(results[\"rouge1\"])\n", " AggregateScore(low=Score(precision=1.0, recall=1.0, fmeasure=1.0), mid=Score(precision=1.0, recall=1.0, fmeasure=1.0), high=Score(precision=1.0, recall=1.0, fmeasure=1.0))\n", " >>> print(results[\"rouge1\"].mid.fmeasure)\n", " 1.0\n", "\"\"\", stored examples: 0)" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from datasets import load_dataset, load_metric\n", "\n", "load_metric('rouge')" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 912, "status": "ok", "timestamp": 1669576305170, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "ycjFViueiC1x", "outputId": "d982e6dd-79ee-4ffb-abe7-89002fd2d7bc" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[nltk_data] Downloading package punkt to /home/user/nltk_data...\n", "[nltk_data] Package punkt is already up-to-date!\n" ] }, { "data": { "text/plain": [ "True" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import nltk\n", "nltk.download('punkt')\n", " " ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "executionInfo": { "elapsed": 354, "status": "ok", "timestamp": 1669576330301, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "YHBxeIxlhJ-t" }, "outputs": [], "source": [ "result = pd.read_csv('results.csv')" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "executionInfo": { "elapsed": 303, "status": "ok", "timestamp": 1669576335012, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "Gq6dBpcsiAKS" }, "outputs": [], "source": [ "red_panel = pd.read_csv('red_panel.csv')\n" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 424 }, "executionInfo": { "elapsed": 323, "status": "ok", "timestamp": 1669576337691, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "NaXyZezfi8jZ", "outputId": "fd7cec48-c512-45b7-f9d1-4f5face4e677" }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " red_panel_text_box_body\n", "0 For metaphyseal fracture healing in the distal...\n", "1 For breeding of high-yielding cultivars with s...\n", "2 In pancreatic ductal adenocarcinoma: We show a...\n", "3 For the detection of frequent Gram-negatives d...\n", "4 Patients with cluster headache: Tended to hav...\n", ".. ...\n", "90 After bariatric surgery: Reduced anti-apoA-1 I...\n", "91 For children/young adults with diabetes and di...\n", "92 In dilated cardiomyopathy: Advanced flow imagi...\n", "93 For COVID-19: Approximately 85% of the Chinese...\n", "94 In the heart: CPT may affect contraction and a...\n", "\n", "[95 rows x 1 columns]" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "red_panel" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "executionInfo": { "elapsed": 414, "status": "ok", "timestamp": 1669576345836, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "Wlchlv9ejd_J" }, "outputs": [], "source": [ "import datasets\n", "import random\n", "import pandas as pd\n", "from IPython.display import display, HTML\n", "\n", "def show_random_elements(dataset, num_examples=5):\n", " assert num_examples <= len(dataset), \"Can't pick more elements than there are in the dataset.\"\n", " picks = []\n", " for _ in range(num_examples):\n", " pick = random.randint(0, len(dataset)-1)\n", " while pick in picks:\n", " pick = random.randint(0, len(dataset)-1)\n", " picks.append(pick)\n", " \n", " df = pd.DataFrame(dataset[picks])\n", " for column, typ in dataset.features.items():\n", " if isinstance(typ, datasets.ClassLabel):\n", " df[column] = df[column].transform(lambda i: typ.names[i])\n", " display(HTML(df.to_html()))" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 313, "status": "ok", "timestamp": 1669576349464, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "wVadlxpikhyQ", "outputId": "c2ce7fad-8455-4705-970c-6e31910bfac6" }, "outputs": [ { "data": { "text/plain": [ "95" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(result)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 313 }, "executionInfo": { "elapsed": 385, "status": "error", "timestamp": 1669576351222, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "VD4OhkhBj7eT", "outputId": "7b7ec7fd-8f06-4550-f6fa-0f6c78e737cb" }, "outputs": [ { "ename": "KeyError", "evalue": "\"None of [Int64Index([53, 82, 92, 63, 6], dtype='int64')] are in the [columns]\"", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn [16], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mshow_random_elements\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresult\u001b[49m\u001b[43m)\u001b[49m\n", "Cell \u001b[0;32mIn [14], line 15\u001b[0m, in \u001b[0;36mshow_random_elements\u001b[0;34m(dataset, num_examples)\u001b[0m\n\u001b[1;32m 12\u001b[0m pick \u001b[38;5;241m=\u001b[39m random\u001b[38;5;241m.\u001b[39mrandint(\u001b[38;5;241m0\u001b[39m, \u001b[38;5;28mlen\u001b[39m(dataset)\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m 13\u001b[0m picks\u001b[38;5;241m.\u001b[39mappend(pick)\n\u001b[0;32m---> 15\u001b[0m df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(\u001b[43mdataset\u001b[49m\u001b[43m[\u001b[49m\u001b[43mpicks\u001b[49m\u001b[43m]\u001b[49m)\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m column, typ \u001b[38;5;129;01min\u001b[39;00m dataset\u001b[38;5;241m.\u001b[39mfeatures\u001b[38;5;241m.\u001b[39mitems():\n\u001b[1;32m 17\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(typ, datasets\u001b[38;5;241m.\u001b[39mClassLabel):\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/frame.py:3811\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3809\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_iterator(key):\n\u001b[1;32m 3810\u001b[0m key \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(key)\n\u001b[0;32m-> 3811\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_indexer_strict\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcolumns\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m[\u001b[38;5;241m1\u001b[39m]\n\u001b[1;32m 3813\u001b[0m \u001b[38;5;66;03m# take() does not accept boolean indexers\u001b[39;00m\n\u001b[1;32m 3814\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(indexer, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdtype\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mbool\u001b[39m:\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/indexes/base.py:6108\u001b[0m, in \u001b[0;36mIndex._get_indexer_strict\u001b[0;34m(self, key, axis_name)\u001b[0m\n\u001b[1;32m 6105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 6106\u001b[0m keyarr, indexer, new_indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_reindex_non_unique(keyarr)\n\u001b[0;32m-> 6108\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_raise_if_missing\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkeyarr\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindexer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis_name\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 6110\u001b[0m keyarr \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtake(indexer)\n\u001b[1;32m 6111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(key, Index):\n\u001b[1;32m 6112\u001b[0m \u001b[38;5;66;03m# GH 42790 - Preserve name from an Index\u001b[39;00m\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/indexes/base.py:6168\u001b[0m, in \u001b[0;36mIndex._raise_if_missing\u001b[0;34m(self, key, indexer, axis_name)\u001b[0m\n\u001b[1;32m 6166\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m use_interval_msg:\n\u001b[1;32m 6167\u001b[0m key \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(key)\n\u001b[0;32m-> 6168\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNone of [\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkey\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m] are in the [\u001b[39m\u001b[38;5;132;01m{\u001b[39;00maxis_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m]\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 6170\u001b[0m not_found \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(ensure_index(key)[missing_mask\u001b[38;5;241m.\u001b[39mnonzero()[\u001b[38;5;241m0\u001b[39m]]\u001b[38;5;241m.\u001b[39munique())\n\u001b[1;32m 6171\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnot_found\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not in index\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", "\u001b[0;31mKeyError\u001b[0m: \"None of [Int64Index([53, 82, 92, 63, 6], dtype='int64')] are in the [columns]\"" ] } ], "source": [ "show_random_elements(result)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 313 }, "executionInfo": { "elapsed": 387, "status": "error", "timestamp": 1669576355089, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "4UubtsoakHA3", "outputId": "19c6e23f-e9fa-498f-cc4c-df63f8207b70" }, "outputs": [ { "ename": "TypeError", "evalue": "ignored", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mraw_datasets\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mload_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/datasets/load.py\u001b[0m in \u001b[0;36mload_dataset\u001b[0;34m(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, revision, use_auth_token, task, streaming, num_proc, **config_kwargs)\u001b[0m\n\u001b[1;32m 1700\u001b[0m \u001b[0;31m`\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1701\u001b[0m \"\"\"\n\u001b[0;32m-> 1702\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDATASET_STATE_JSON_FILENAME\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1703\u001b[0m raise ValueError(\n\u001b[1;32m 1704\u001b[0m \u001b[0;34m\"You are trying to load a dataset that was saved using `save_to_disk`. \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/lib/python3.7/pathlib.py\u001b[0m in \u001b[0;36m__new__\u001b[0;34m(cls, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1025\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mcls\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1026\u001b[0m \u001b[0mcls\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mWindowsPath\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'nt'\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mPosixPath\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1027\u001b[0;31m \u001b[0mself\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_from_parts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minit\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1028\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_flavour\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_supported\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1029\u001b[0m raise NotImplementedError(\"cannot instantiate %r on your system\"\n", "\u001b[0;32m/usr/lib/python3.7/pathlib.py\u001b[0m in \u001b[0;36m_from_parts\u001b[0;34m(cls, args, init)\u001b[0m\n\u001b[1;32m 672\u001b[0m \u001b[0;31m# right flavour.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 673\u001b[0m \u001b[0mself\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__new__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcls\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 674\u001b[0;31m \u001b[0mdrv\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mroot\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparts\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parse_args\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 675\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_drv\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdrv\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 676\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_root\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mroot\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/lib/python3.7/pathlib.py\u001b[0m in \u001b[0;36m_parse_args\u001b[0;34m(cls, args)\u001b[0m\n\u001b[1;32m 656\u001b[0m \u001b[0mparts\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parts\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 657\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 658\u001b[0;31m \u001b[0ma\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfspath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 659\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 660\u001b[0m \u001b[0;31m# Force-cast str subclasses to str (issue #21127)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mTypeError\u001b[0m: expected str, bytes or os.PathLike object, not DataFrame" ] } ], "source": [ "raw_datasets = load_dataset(result)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 145, "referenced_widgets": [ "0b38e872bc524464a2b3abe7f2f9b0be", "c6a5f491bb4c4136bcb5f90d3365bd5f", "05b2a71290474944b5ae83e6acbe6adc", "b8b0c77876a0404db627bac733d028e8", "92023e14dbcf4c218f338c926e40ae14", "03c8bdaa055e465f8a941ff333767409", "664e934211bb4356ae5426686f0035b3", "c80b42c6b5c04f4e9452c7af595f1d2c", "ef09742724b34b75b051ac54db2383ed", "0c4d50cf8f8d425e86960bc2dc269c89", "01c98b14c07d4258aab7671240838ef6", "243833c3431e4353af27113e5a8b0a7f", "465d36a2f4b340dbbb7844f5187a91c6", "6bc673e8cebe4c28bc7fb967615bed9a", "a68722b5ccb144e2bca404b7cd00cfcb", "b8ad8216b8df4dfb9f87d82824c65087", "ef9b130ff1264814bb2f80c597466689", "3ff8b3ad219c430083498e2710f9783b", "d27a766c98bf4b858d145d88c69d34f6", "67627aa46685425fba1b801c25d8f5c0", "47f89064d61442caba4adf13852b1708", "5168fe5634ee4077a558b7328f3a1dbc", "4f5c545ae1c949a2990d557fa6152376", "33e5a40561e64bae86a488e0e62e7597", "9c73476e79a84b1a9361842441c52d53", "07198da37bbe454db23f02d9bf9ad855", "2a3b7cc5e582416caa24dd2360bb2664", "158c7ddf69924f27b637b9a2f11bcaa0", "1bee7da564a74fbb9521433b2bd8ad54", "05aec460b82241ad9da702e6398f83a9", "38fb2ec3ed86413bacf3213f71cbe4cd", "df0b2994481f47568d388440024dff5a", "103fbfda1b924f1b87ead6dd93ebe447", "3c70c6d3f27e4ed6ad3e11833ab5a5fc", "2205adb4fcd649e78977990748e1e0f3", "568fc52953454ea398132e8eabf2f7a3", "ba63044392144348b8e4c30869643010", "679aadea6b11431682f884b5ef26c0d3", "e07d939742d54ac29c8f8e00b7af5604", "01d888d4b4f449af85114e6da4570452", "558a98c82b4a458096d2f7f5e1088673", "90697bae783b45aeaf1f448d31e3b4c5", "ecbbff87ffa1445e8946155b04f7cc0d", "80d4b0bdb13e444a84b3ccebb6f7eeb0" ] }, "executionInfo": { "elapsed": 5037, "status": "ok", "timestamp": 1669576365017, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "ZdPQtI-WlD5H", "outputId": "b882fa2a-c627-4203-d520-f8f000d7597e" }, "outputs": [], "source": [ "from transformers import AutoTokenizer\n", " \n", "tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 492, "status": "ok", "timestamp": 1669280828857, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "kjc19-dOl-JX", "outputId": "f21bb653-ef50-44fd-9e00-b85628d910bd" }, "outputs": [ { "data": { "text/plain": [ "{'input_ids': [0, 31414, 6, 42, 65, 3645, 328, 2], 'attention_mask': [1, 1, 1, 1, 1, 1, 1, 1]}" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tokenizer(\"Hello, this one sentence!\")" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 1041, "status": "ok", "timestamp": 1669576379512, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "gduPqN_OmDrY", "outputId": "9f0aa066-7140-4aaf-d3f3-b99257ef5e82" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'input_ids': [[0, 31414, 6, 42, 65, 3645, 328, 2], [0, 713, 16, 277, 3645, 4, 2]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1]]}\n" ] } ], "source": [ "with tokenizer.as_target_tokenizer():\n", " print(tokenizer([\"Hello, this one sentence!\", \"This is another sentence.\"]))" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 428, "status": "ok", "timestamp": 1669576381572, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "7cRl0UmbmPBv", "outputId": "bcda0139-7288-423e-a570-7d525e1af848" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'input_ids': [[0, 133, 37920, 1421, 6, 21, 441, 7, 7006, 10, 10556, 22259, 11759, 609, 11, 10, 1810, 3143, 9, 29943, 5473, 11174, 4458, 4, 18547, 46602, 7085, 8, 4412, 6979, 4040, 991, 3809, 260, 1827, 1021, 7485, 5000, 21, 6126, 11, 5, 18067, 443, 396, 486, 687, 9285, 4, 133, 1421, 6, 3891, 6, 2092, 3901, 7, 892, 41724, 219, 1090, 337, 9013, 11759, 223, 28900, 12418, 1274, 8, 41724, 219, 1090, 337, 28456, 11, 430, 12396, 8, 22259, 3505, 4, 2], [0, 574, 3141, 19, 23459, 2088, 33906, 417, 12, 725, 134, 2633, 5943, 709, 1118, 7, 2301, 19, 5, 5685, 221, 6153, 12, 725, 134, 48661, 6, 420, 5, 80, 434, 17369, 1687, 4, 18522, 5181, 5943, 39209, 11, 70, 542, 12170, 337, 1538, 3451, 6, 8, 11, 1437, 12170, 337, 1538, 2428, 2003, 21242, 3406, 5, 29401, 33906, 417, 12, 725, 134, 48661, 6, 11187, 24, 13072, 39209, 11, 2428, 2003, 21242, 19, 5, 5685, 221, 6153, 12, 725, 134, 48661, 4, 713, 2609, 24864, 41, 10405, 227, 221, 6153, 12, 725, 134, 6, 5181, 8, 1437, 12170, 337, 1938, 4, 3750, 5, 239, 5181, 6, 221, 6153, 12, 725, 134, 2301, 11, 2428, 14218, 36, 13055, 487, 12, 725, 134, 12, 406, 43, 19057, 55, 6, 9641, 2301, 19, 33906, 417, 12, 725, 134, 58, 275, 11, 748, 27771, 12, 725, 134, 3618, 4, 2], [0, 565, 783, 368, 12, 53, 45, 13418, 21130, 1580, 12, 38871, 221, 11621, 487, 16, 3059, 19, 2129, 1374, 7967, 11, 11707, 2562, 4, 43253, 1178, 13998, 2678, 661, 39917, 924, 614, 256, 13459, 1380, 38, 36, 448, 13459, 100, 43, 8151, 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1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}\n" ] } ], "source": [ "with tokenizer.as_target_tokenizer():\n", " print(tokenizer([str(item['red_panel_text_box_body']) for idx, item in result.iterrows()]))" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "executionInfo": { "elapsed": 374, "status": "ok", "timestamp": 1669576385830, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "YgNwfk7Hm352" }, "outputs": [], "source": [ "if model_checkpoint in [\"t5-small\", \"t5-base\", \"t5-larg\", \"t5-3b\", \"t5-11b\"]:\n", " prefix = \"summarize: \"\n", "else:\n", " prefix = \"\"" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "executionInfo": { "elapsed": 271, "status": "ok", "timestamp": 1669576390877, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "7p69v3F-7y3l" }, "outputs": [], "source": [ "from datasets import Dataset, DatasetDict\n", "\n", "raw_data = Dataset.from_pandas(red_panel)\n", "\n" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "executionInfo": { "elapsed": 623, "status": "ok", "timestamp": 1669576398897, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "uMYy0T5snVms" }, "outputs": [], "source": [ "max_input_length = 256\n", "max_target_length = 128\n", "\n", "def preprocess_function(examples):\n", " inputs = [prefix + doc for doc in examples[\"red_panel_text_box_body\"]]\n", " model_inputs = tokenizer(inputs, max_length=max_input_length, truncation=True)\n", " print('here')\n", " # Setup the tokenizer for targets\n", " with tokenizer.as_target_tokenizer():\n", " labels = tokenizer([str(i) for i in examples['red_panel_text_box_body']], max_length=max_target_length, truncation=True)\n", "\n", " model_inputs[\"labels\"] = labels[\"input_ids\"]\n", " return model_inputs" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 321, "status": "ok", "timestamp": 1669576404041, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "LY8V30iknZkK", "outputId": "dadf1d4b-4549-48b4-ea0a-a9b80c53d41e" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "here\n" ] }, { "data": { "text/plain": [ "{'input_ids': [[0, 2709, 41724, 219, 1090, 337, 22259, 11759, 11, 5, 7018, 337, 29943, 35, 83, 37920, 1421, 16, 441, 7, 7006, 10, 10556, 22259, 11759, 609, 11, 10, 1810, 3143, 9, 29943, 5473, 11174, 4458, 2], [0, 2709, 16828, 9, 239, 12, 219, 22613, 38175, 2726, 19, 2167, 21092, 9, 538, 14082, 14819, 17719, 7, 499, 23377, 5183, 1274, 35, 497, 5, 239, 5181, 6, 221, 6153, 12, 725, 134, 2301, 11, 2428, 14218, 36, 13055, 487, 12, 725, 134, 12, 406, 43, 19057, 55, 6, 9641, 2301, 19, 33906, 417, 12, 725, 134, 58, 275, 11, 748, 27771, 12, 725, 134, 3618, 2]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], 'labels': [[0, 2709, 41724, 219, 1090, 337, 22259, 11759, 11, 5, 7018, 337, 29943, 35, 83, 37920, 1421, 16, 441, 7, 7006, 10, 10556, 22259, 11759, 609, 11, 10, 1810, 3143, 9, 29943, 5473, 11174, 4458, 2], [0, 2709, 16828, 9, 239, 12, 219, 22613, 38175, 2726, 19, 2167, 21092, 9, 538, 14082, 14819, 17719, 7, 499, 23377, 5183, 1274, 35, 497, 5, 239, 5181, 6, 221, 6153, 12, 725, 134, 2301, 11, 2428, 14218, 36, 13055, 487, 12, 725, 134, 12, 406, 43, 19057, 55, 6, 9641, 2301, 19, 33906, 417, 12, 725, 134, 58, 275, 11, 748, 27771, 12, 725, 134, 3618, 2]]}" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "preprocess_function(red_panel[:2])" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 66, "referenced_widgets": [ "bdfff319aabb4945839b4005998a33f6", "0e829cb1baaa4f328c81962b8387d7b2", "cd5a450b5aa64a26b0bce472d9cb3876", "ad906e312a214064ab07fbc101dd38a8", "529be118e3874e89aa14be376861b9e6", "03cc14e13e57403290726fbaa456ad1b", "fd96d7b076b841df9b3f59f2906e3e2e", "69dfaff72d6c45aabdbd920709914a94", "47e1811ef6784f808202d973b364ec34", "8a3d504e7bab45289110d16a637b5cab", "18c3aea650934b52abbd1a54ab659581" ] }, "executionInfo": { "elapsed": 404, "status": "ok", "timestamp": 1669576408931, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "wDwXFKU_oHlt", "outputId": "479d2bd3-70b4-48be-cbe5-77e2b629d48b" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "31bb088fedaa408f974ce97de968a715", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/1 [00:00 599\u001b[0m lfs_version \u001b[38;5;241m=\u001b[39m \u001b[43mrun_subprocess\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 600\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mgit-lfs --version\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msplit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlocal_dir\u001b[49m\n\u001b[1;32m 601\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mstdout\u001b[38;5;241m.\u001b[39mstrip()\n\u001b[1;32m 602\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mFileNotFoundError\u001b[39;00m:\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/huggingface_hub/utils/_subprocess.py:52\u001b[0m, in \u001b[0;36mrun_subprocess\u001b[0;34m(command, folder, check, **kwargs)\u001b[0m\n\u001b[1;32m 50\u001b[0m command \u001b[38;5;241m=\u001b[39m command\u001b[38;5;241m.\u001b[39msplit()\n\u001b[0;32m---> 52\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43msubprocess\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 53\u001b[0m \u001b[43m \u001b[49m\u001b[43mcommand\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 54\u001b[0m \u001b[43m \u001b[49m\u001b[43mstderr\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msubprocess\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPIPE\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 55\u001b[0m \u001b[43m 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\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 60\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/subprocess.py:501\u001b[0m, in \u001b[0;36mrun\u001b[0;34m(input, capture_output, timeout, check, *popenargs, **kwargs)\u001b[0m\n\u001b[1;32m 499\u001b[0m kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mstderr\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m PIPE\n\u001b[0;32m--> 501\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[43mPopen\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mpopenargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m process:\n\u001b[1;32m 502\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", "File \u001b[0;32m/usr/lib/python3.10/subprocess.py:969\u001b[0m, in \u001b[0;36mPopen.__init__\u001b[0;34m(self, args, bufsize, executable, stdin, stdout, stderr, preexec_fn, close_fds, shell, cwd, env, universal_newlines, startupinfo, creationflags, restore_signals, start_new_session, pass_fds, user, group, extra_groups, encoding, errors, text, umask, pipesize)\u001b[0m\n\u001b[1;32m 966\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstderr \u001b[38;5;241m=\u001b[39m io\u001b[38;5;241m.\u001b[39mTextIOWrapper(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstderr,\n\u001b[1;32m 967\u001b[0m encoding\u001b[38;5;241m=\u001b[39mencoding, errors\u001b[38;5;241m=\u001b[39merrors)\n\u001b[0;32m--> 969\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_child\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecutable\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpreexec_fn\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mclose_fds\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 970\u001b[0m \u001b[43m \u001b[49m\u001b[43mpass_fds\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 971\u001b[0m \u001b[43m \u001b[49m\u001b[43mstartupinfo\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcreationflags\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mshell\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 972\u001b[0m \u001b[43m \u001b[49m\u001b[43mp2cread\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mp2cwrite\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 973\u001b[0m \u001b[43m \u001b[49m\u001b[43mc2pread\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mc2pwrite\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 974\u001b[0m \u001b[43m 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creationflags, shell, p2cread, p2cwrite, c2pread, c2pwrite, errread, errwrite, restore_signals, gid, gids, uid, umask, start_new_session)\u001b[0m\n\u001b[1;32m 1844\u001b[0m err_msg \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mstrerror(errno_num)\n\u001b[0;32m-> 1845\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m child_exception_type(errno_num, err_msg, err_filename)\n\u001b[1;32m 1846\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m child_exception_type(err_msg)\n", "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'git-lfs'", "\nDuring handling of the above exception, another exception occurred:\n", "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn [38], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m trainer \u001b[38;5;241m=\u001b[39m \u001b[43mSeq2SeqTrainer\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 2\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3\u001b[0m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43mtrain_dataset\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtokenized_datasets\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43meval_dataset\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtokenized_datasets\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[43mdata_collator\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdata_collator\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 7\u001b[0m \u001b[43m \u001b[49m\u001b[43mtokenizer\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtokenizer\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompute_metrics\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcompute_metrics\u001b[49m\n\u001b[1;32m 9\u001b[0m \u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/transformers/trainer.py:464\u001b[0m, in \u001b[0;36mTrainer.__init__\u001b[0;34m(self, model, args, data_collator, train_dataset, eval_dataset, tokenizer, model_init, compute_metrics, callbacks, optimizers, preprocess_logits_for_metrics)\u001b[0m\n\u001b[1;32m 462\u001b[0m \u001b[38;5;66;03m# Create clone of distant repo and output directory if needed\u001b[39;00m\n\u001b[1;32m 463\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39margs\u001b[38;5;241m.\u001b[39mpush_to_hub:\n\u001b[0;32m--> 464\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minit_git_repo\u001b[49m\u001b[43m(\u001b[49m\u001b[43mat_init\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m 465\u001b[0m \u001b[38;5;66;03m# In case of pull, we need to make sure every process has the latest.\u001b[39;00m\n\u001b[1;32m 466\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_torch_tpu_available():\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/transformers/trainer.py:3106\u001b[0m, in \u001b[0;36mTrainer.init_git_repo\u001b[0;34m(self, at_init)\u001b[0m\n\u001b[1;32m 3103\u001b[0m repo_name \u001b[38;5;241m=\u001b[39m get_full_repo_name(repo_name, token\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39margs\u001b[38;5;241m.\u001b[39mhub_token)\n\u001b[1;32m 3105\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3106\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrepo \u001b[38;5;241m=\u001b[39m \u001b[43mRepository\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 3107\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moutput_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3108\u001b[0m \u001b[43m \u001b[49m\u001b[43mclone_from\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrepo_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3109\u001b[0m \u001b[43m \u001b[49m\u001b[43muse_auth_token\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43muse_auth_token\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3110\u001b[0m \u001b[43m \u001b[49m\u001b[43mprivate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhub_private_repo\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3111\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3112\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mEnvironmentError\u001b[39;00m:\n\u001b[1;32m 3113\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39margs\u001b[38;5;241m.\u001b[39moverwrite_output_dir \u001b[38;5;129;01mand\u001b[39;00m at_init:\n\u001b[1;32m 3114\u001b[0m \u001b[38;5;66;03m# Try again after wiping output_dir\u001b[39;00m\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:98\u001b[0m, in \u001b[0;36m_deprecate_arguments.._inner_deprecate_positional_args..inner_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 96\u001b[0m message \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m custom_message\n\u001b[1;32m 97\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(message, \u001b[38;5;167;01mFutureWarning\u001b[39;00m)\n\u001b[0;32m---> 98\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mf\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/huggingface_hub/repository.py:497\u001b[0m, in \u001b[0;36mRepository.__init__\u001b[0;34m(self, local_dir, clone_from, repo_type, use_auth_token, git_user, git_email, revision, private, skip_lfs_files, client)\u001b[0m\n\u001b[1;32m 494\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mskip_lfs_files \u001b[38;5;241m=\u001b[39m skip_lfs_files\n\u001b[1;32m 495\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mclient \u001b[38;5;241m=\u001b[39m client \u001b[38;5;28;01mif\u001b[39;00m client \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m HfApi()\n\u001b[0;32m--> 497\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcheck_git_versions\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 499\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(use_auth_token, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m 500\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhuggingface_token \u001b[38;5;241m=\u001b[39m use_auth_token\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/huggingface_hub/repository.py:603\u001b[0m, in \u001b[0;36mRepository.check_git_versions\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 599\u001b[0m lfs_version \u001b[38;5;241m=\u001b[39m run_subprocess(\n\u001b[1;32m 600\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgit-lfs --version\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39msplit(), \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlocal_dir\n\u001b[1;32m 601\u001b[0m )\u001b[38;5;241m.\u001b[39mstdout\u001b[38;5;241m.\u001b[39mstrip()\n\u001b[1;32m 602\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mFileNotFoundError\u001b[39;00m:\n\u001b[0;32m--> 603\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mEnvironmentError\u001b[39;00m(\n\u001b[1;32m 604\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLooks like you do not have git-lfs installed, please install.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 605\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m You can install from https://git-lfs.github.com/.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 606\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m Then run `git lfs install` (you only have to do this once).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 607\u001b[0m )\n\u001b[1;32m 608\u001b[0m logger\u001b[38;5;241m.\u001b[39minfo(git_version \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m lfs_version)\n", "\u001b[0;31mOSError\u001b[0m: Looks like you do not have git-lfs installed, please install. You can install from https://git-lfs.github.com/. Then run `git lfs install` (you only have to do this once)." ] } ], "source": [ "trainer = Seq2SeqTrainer(\n", " model,\n", " args,\n", " train_dataset=tokenized_datasets,\n", " eval_dataset=tokenized_datasets,\n", " data_collator=data_collator,\n", " tokenizer=tokenizer,\n", " compute_metrics=compute_metrics\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "executionInfo": { "elapsed": 578, "status": "ok", "timestamp": 1669576480801, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "iWtpY6UvsrqL" }, "outputs": [], "source": [ "metric = load_metric(\"rouge\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 474 }, "executionInfo": { "elapsed": 32697, "status": "ok", "timestamp": 1669576769127, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "59h69HXKttbi", "outputId": "b885f66c-2377-4826-c85e-adb42b5132d7" }, "outputs": [], "source": [ "trainer.train()" ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 328, "status": "ok", "timestamp": 1669576814482, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "9Ewl0xuLhzr1", "outputId": "c4d22171-c1ac-40e3-9f0a-b058271a2c71" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Error: Failed to call git rev-parse --git-dir --show-toplevel: \"fatal: not a git repository (or any of the parent directories): .git\\n\"\n", "Git LFS initialized.\n" ] } ], "source": [ "!git lfs install" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000, "referenced_widgets": [ "e6da8f1c969c4116b54e964b78eeacfe", "66292eb8434a4ce6a6d87b80c1a5d5cf", "51ecb48b3aeb41cca1b2544aaa6d4297", "227f48e8b0c54dedafe8837de08c046b", "9bd09f0209b34586a8e52e549371dc9a", "c6b05ef0ab714f6ebcb36f1ae3cd9706", "0083d899a9fe4a75ac2ecc399d78f7e5", "9e24fad5fa2244efb3789fd73f04780a", "afa8052f63af4e2889921afbf6966f97", "5b600008c0204e17b3a499c383486a45", "1c751ee6ba044b26934f26a39981db27", "2c1637186ffa402fbf9a581558931503", "65020f9d0bb74135afd0a4958b652e7d", "f2d03ae9392b47fb9c0ddf08097a9651", "6a724ac6378641889ebf41de6d6885d4", "d7c1ac4f603f4a518679ef85e3b1224a", "7bf2ca5db1b14122a6a781df43c12acd", "cb513a3c13dd4afa9e9967ac18cbe3c9", "e38a776b6c1b4a269af32e38efde579c", "39e1026c224a4b7689d60ab3d354fe50", "ac44a05a3ac442f78082e6387090a984", "94ec073846444cf6bc988e00b4b8bbce" ] }, "executionInfo": { "elapsed": 26742, "status": "error", "timestamp": 1669576920460, "user": { "displayName": "Hayk Nersesyan", "userId": "12126341854567580260" }, "user_tz": -240 }, "id": "KVmCwgAS7SI_", "outputId": "524fabd2-18bf-445a-ce63-bdd6bed6331a" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Saving model checkpoint to bart-large-cnn-finetuned-xsum\n", "Configuration saved in bart-large-cnn-finetuned-xsum/config.json\n", "Model weights saved in bart-large-cnn-finetuned-xsum/pytorch_model.bin\n", "tokenizer config file saved in bart-large-cnn-finetuned-xsum/tokenizer_config.json\n", "Special tokens file saved in bart-large-cnn-finetuned-xsum/special_tokens_map.json\n", "Several commits (2) will be pushed upstream.\n", "WARNING:huggingface_hub.repository:Several commits (2) will be pushed upstream.\n", "The progress bars may be unreliable.\n", "WARNING:huggingface_hub.repository:The progress bars may be unreliable.\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "e6da8f1c969c4116b54e964b78eeacfe", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Upload file runs/Nov27_19-14-12_8af7ca6e45dd/1669576736.3078728/events.out.tfevents.1669576736.8af7ca6e45dd.77…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "2c1637186ffa402fbf9a581558931503", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Upload file runs/Nov27_19-14-12_8af7ca6e45dd/events.out.tfevents.1669576736.8af7ca6e45dd.77.2: 60%|#####9 …" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "remote: \u001b[0;31m----------------------------------------------------------\u001b[0;0m \n", "remote: \u001b[0;31mYour push was rejected for the following reasons:\u001b[0;0m \n", "remote: \u001b[0;31mDENIED update refs/heads/main: forbidden\u001b[0;0m \n", "remote: \u001b[0;31m----------------------------------------------------------\u001b[0;0m \n", "To https://huggingface.co/Hayk96/bart-large-cnn-finetuned-xsum\n", " ! [remote rejected] main -> main (pre-receive hook declined)\n", "error: failed to push some refs to 'https://user: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@huggingface.co/Hayk96/bart-large-cnn-finetuned-xsum'\n", "\n", "WARNING:huggingface_hub.repository:remote: \u001b[0;31m----------------------------------------------------------\u001b[0;0m \n", "remote: \u001b[0;31mYour push was rejected for the following reasons:\u001b[0;0m \n", "remote: \u001b[0;31mDENIED update refs/heads/main: forbidden\u001b[0;0m \n", "remote: \u001b[0;31m----------------------------------------------------------\u001b[0;0m \n", "To https://huggingface.co/Hayk96/bart-large-cnn-finetuned-xsum\n", " ! [remote rejected] main -> main (pre-receive hook declined)\n", "error: failed to push some refs to 'https://user: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@huggingface.co/Hayk96/bart-large-cnn-finetuned-xsum'\n", "\n" ] }, { "ename": "OSError", "evalue": "ignored", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mCalledProcessError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/huggingface_hub/repository.py\u001b[0m in \u001b[0;36mgit_push\u001b[0;34m(self, upstream, blocking, auto_lfs_prune)\u001b[0m\n\u001b[1;32m 1207\u001b[0m raise subprocess.CalledProcessError(\n\u001b[0;32m-> 1208\u001b[0;31m \u001b[0mreturn_code\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprocess\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moutput\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstdout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstderr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstderr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1209\u001b[0m )\n", "\u001b[0;31mCalledProcessError\u001b[0m: Command '['git', 'push', '--set-upstream', 'origin', 'main']' returned non-zero exit status 1.", "\nDuring handling of the above exception, another exception occurred:\n", "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpush_to_hub\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/transformers/trainer.py\u001b[0m in \u001b[0;36mpush_to_hub\u001b[0;34m(self, commit_message, blocking, **kwargs)\u001b[0m\n\u001b[1;32m 3451\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3452\u001b[0m git_head_commit_url = self.repo.push_to_hub(\n\u001b[0;32m-> 3453\u001b[0;31m \u001b[0mcommit_message\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcommit_message\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mblocking\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mblocking\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mauto_lfs_prune\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3454\u001b[0m )\n\u001b[1;32m 3455\u001b[0m \u001b[0;31m# push separately the model card to be independant from the rest of the model\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/huggingface_hub/repository.py\u001b[0m in \u001b[0;36mpush_to_hub\u001b[0;34m(self, commit_message, blocking, clean_ok, auto_lfs_prune)\u001b[0m\n\u001b[1;32m 1433\u001b[0m \u001b[0mupstream\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34mf\"origin {self.current_branch}\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1434\u001b[0m \u001b[0mblocking\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mblocking\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1435\u001b[0;31m \u001b[0mauto_lfs_prune\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mauto_lfs_prune\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1436\u001b[0m )\n\u001b[1;32m 1437\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/huggingface_hub/repository.py\u001b[0m in \u001b[0;36mgit_push\u001b[0;34m(self, upstream, blocking, auto_lfs_prune)\u001b[0m\n\u001b[1;32m 1210\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1211\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0msubprocess\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCalledProcessError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1212\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mEnvironmentError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstderr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1213\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1214\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mblocking\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mOSError\u001b[0m: remote: \u001b[0;31m----------------------------------------------------------\u001b[0;0m \nremote: \u001b[0;31mYour push was rejected for the following reasons:\u001b[0;0m \nremote: \u001b[0;31mDENIED update refs/heads/main: forbidden\u001b[0;0m \nremote: \u001b[0;31m----------------------------------------------------------\u001b[0;0m \nTo https://huggingface.co/Hayk96/bart-large-cnn-finetuned-xsum\n ! [remote rejected] main -> main (pre-receive hook declined)\nerror: failed to push some refs to 'https://user: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@huggingface.co/Hayk96/bart-large-cnn-finetuned-xsum'\n" ] } ], "source": [ "trainer.push_to_hub()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "luNSndiz51Cf" }, "outputs": [], "source": [] } ], "metadata": { "accelerator": "GPU", "colab": { "authorship_tag": "ABX9TyOTeSSmSj2YKbiGNPkT2+Cg", "provenance": [] }, "gpuClass": "standard", "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.6" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "0083d899a9fe4a75ac2ecc399d78f7e5": { "model_module": "@jupyter-widgets/controls", 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