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{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Summarisation.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DHzgmow9DZK7",
        "outputId": "17b09c81-8576-4aca-a9b7-cea3164e3901"
      },
      "source": [
        "!git clone https://dagshub.com/gagan3012/summarization.git"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'summarization'...\n",
            "remote: Enumerating objects: 471, done.\u001b[K\n",
            "remote: Counting objects: 100% (471/471), done.\u001b[K\n",
            "remote: Compressing objects: 100% (465/465), done.\u001b[K\n",
            "remote: Total 471 (delta 270), reused 0 (delta 0)\u001b[K\n",
            "Receiving objects: 100% (471/471), 55.46 KiB | 610.00 KiB/s, done.\n",
            "Resolving deltas: 100% (270/270), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a_gw9JaVEslh"
      },
      "source": [
        "import os\n",
        "os.chdir('/content/summarization')"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dcozx2lVFOd-",
        "outputId": "70101995-36ec-4a76-ca44-8796c9dc1a74"
      },
      "source": [
        "!git pull"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "remote: Enumerating objects: 13, done.\u001b[K\n",
            "remote: Counting objects:   7% (1/13)\u001b[K\rremote: Counting objects:  15% (2/13)\u001b[K\rremote: Counting objects:  23% (3/13)\u001b[K\rremote: Counting objects:  30% (4/13)\u001b[K\rremote: Counting objects:  38% (5/13)\u001b[K\rremote: Counting objects:  46% (6/13)\u001b[K\rremote: Counting objects:  53% (7/13)\u001b[K\rremote: Counting objects:  61% (8/13)\u001b[K\rremote: Counting objects:  69% (9/13)\u001b[K\rremote: Counting objects:  76% (10/13)\u001b[K\rremote: Counting objects:  84% (11/13)\u001b[K\rremote: Counting objects:  92% (12/13)\u001b[K\rremote: Counting objects: 100% (13/13)\u001b[K\rremote: Counting objects: 100% (13/13), done.\u001b[K\n",
            "remote: Compressing objects:  12% (1/8)\u001b[K\rremote: Compressing objects:  25% (2/8)\u001b[K\rremote: Compressing objects:  37% (3/8)\u001b[K\rremote: Compressing objects:  50% (4/8)\u001b[K\rremote: Compressing objects:  62% (5/8)\u001b[K\rremote: Compressing objects:  75% (6/8)\u001b[K\rremote: Compressing objects:  87% (7/8)\u001b[K\rremote: Compressing objects: 100% (8/8)\u001b[K\rremote: Compressing objects: 100% (8/8), done.\u001b[K\n",
            "remote: Total 8 (delta 5), reused 0 (delta 0)\u001b[K\n",
            "Unpacking objects:  12% (1/8)   \rUnpacking objects:  25% (2/8)   \rUnpacking objects:  37% (3/8)   \rUnpacking objects:  50% (4/8)   \rUnpacking objects:  62% (5/8)   \rUnpacking objects:  75% (6/8)   \rUnpacking objects:  87% (7/8)   \rUnpacking objects: 100% (8/8)   \rUnpacking objects: 100% (8/8), done.\n",
            "From https://dagshub.com/gagan3012/summarization\n",
            "   3e20595..61a144b  master     -> origin/master\n",
            "Updating 3e20595..61a144b\n",
            "Fast-forward\n",
            " params.yml          | 2 \u001b[32m+\u001b[m\u001b[31m-\u001b[m\n",
            " src/models/model.py | 5 \u001b[32m++\u001b[m\u001b[31m---\u001b[m\n",
            " 2 files changed, 3 insertions(+), 4 deletions(-)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fcJkF3ZtEyVm",
        "outputId": "c5ec297a-3a7e-4d9a-f56b-9500ec728ac8"
      },
      "source": [
        "!make dirs"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "mkdir -p data/raw data/processed models\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6jClm3fBE9XL",
        "outputId": "82e9dd11-270c-459c-9188-0b5829d7fc8d"
      },
      "source": [
        "!make requirements"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "python -m pip install -U pip setuptools wheel\n",
            "Requirement already satisfied: pip in /usr/local/lib/python3.7/dist-packages (21.1.3)\n",
            "Collecting pip\n",
            "  Downloading pip-21.2.1-py3-none-any.whl (1.6 MB)\n",
            "\u001b[K     |β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1.6 MB 10.3 MB/s \n",
            "\u001b[?25hRequirement already satisfied: setuptools in /usr/local/lib/python3.7/dist-packages (57.2.0)\n",
            "Collecting setuptools\n",
            "  Downloading setuptools-57.4.0-py3-none-any.whl (819 kB)\n",
            "\u001b[K     |β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 819 kB 54.6 MB/s \n",
            "\u001b[?25hRequirement already satisfied: wheel in /usr/local/lib/python3.7/dist-packages (0.36.2)\n",
            "Installing collected packages: setuptools, pip\n",
            "  Attempting uninstall: setuptools\n",
            "    Found existing installation: setuptools 57.2.0\n",
            "    Uninstalling setuptools-57.2.0:\n",
            "      Successfully uninstalled setuptools-57.2.0\n",
            "  Attempting uninstall: pip\n",
            "    Found existing installation: pip 21.1.3\n",
            "    Uninstalling pip-21.1.3:\n",
            "      Successfully uninstalled pip-21.1.3\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\u001b[0m\n",
            "Successfully installed pip-21.2.1 setuptools-57.4.0\n",
            "python -m pip install -r requirements.txt\n",
            "\u001b[33mWARNING: Value for scheme.platlib does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "distutils: /usr/local/lib/python3.7/dist-packages\n",
            "sysconfig: /usr/lib/python3.7/site-packages\u001b[0m\n",
            "\u001b[33mWARNING: Value for scheme.purelib does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "distutils: /usr/local/lib/python3.7/dist-packages\n",
            "sysconfig: /usr/lib/python3.7/site-packages\u001b[0m\n",
            "\u001b[33mWARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "distutils: /usr/local/include/python3.7/UNKNOWN\n",
            "sysconfig: /usr/include/python3.7m/UNKNOWN\u001b[0m\n",
            "\u001b[33mWARNING: Value for scheme.scripts does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "distutils: /usr/local/bin\n",
            "sysconfig: /usr/bin\u001b[0m\n",
            "\u001b[33mWARNING: Value for scheme.data does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "distutils: /usr/local\n",
            "sysconfig: /usr\u001b[0m\n",
            "\u001b[33mWARNING: Additional context:\n",
            "user = False\n",
            "home = None\n",
            "root = None\n",
            "prefix = None\u001b[0m\n",
            "Collecting numpy==1.21.1\n",
            "  Downloading numpy-1.21.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (15.7 MB)\n",
            "\u001b[K     |β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 15.7 MB 73 kB/s \n",
            "\u001b[?25hCollecting datasets==1.10.2\n",
            "  Downloading datasets-1.10.2-py3-none-any.whl (542 kB)\n",
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            "\u001b[?25hCollecting yarl<2.0,>=1.0\n",
            "  Downloading yarl-1.6.3-cp37-cp37m-manylinux2014_x86_64.whl (294 kB)\n",
            "\u001b[K     |β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 294 kB 61.8 MB/s \n",
            "\u001b[?25hRequirement already satisfied: chardet<5.0,>=2.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp->fsspec>=2021.05.0->datasets==1.10.2->-r requirements.txt (line 2)) (3.0.4)\n",
            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp->fsspec>=2021.05.0->datasets==1.10.2->-r requirements.txt (line 2)) (21.2.0)\n",
            "Requirement already satisfied: itsdangerous<2.0,>=0.24 in /usr/local/lib/python3.7/dist-packages (from Flask->mlflow->-r requirements.txt (line 11)) (1.1.0)\n",
            "Requirement already satisfied: Jinja2<3.0,>=2.10.1 in /usr/local/lib/python3.7/dist-packages (from Flask->mlflow->-r requirements.txt (line 11)) (2.11.3)\n",
            "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.7/dist-packages (from Jinja2<3.0,>=2.10.1->Flask->mlflow->-r requirements.txt (line 11)) (2.0.1)\n",
            "Requirement already satisfied: wcwidth in /usr/local/lib/python3.7/dist-packages (from ftfy->python-benedict>=0.21.1->dvc->-r requirements.txt (line 10)) (0.2.5)\n",
            "Requirement already satisfied: prometheus_client in /usr/local/lib/python3.7/dist-packages (from prometheus-flask-exporter->mlflow->-r requirements.txt (line 11)) (0.11.0)\n",
            "Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.7/dist-packages (from python-slugify->python-benedict>=0.21.1->dvc->-r requirements.txt (line 10)) (1.3)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers==4.9.0->-r requirements.txt (line 4)) (1.0.1)\n",
            "Building wheels for collected packages: alembic, configobj, databricks-cli, dpath, flufl.lock, future, nanotime, pygtrie, subprocess32, atpublic, ftfy, mailchecker, pathtools, prometheus-flask-exporter\n",
            "  Building wheel for alembic (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for alembic: filename=alembic-1.4.1-py2.py3-none-any.whl size=158170 sha256=d541e855df5c7739eb540d74fd3895c3cd91fa31f211ed19ef13b288450e5609\n",
            "  Stored in directory: /root/.cache/pip/wheels/be/5d/0a/9e13f53f4f5dfb67cd8d245bb7cdffe12f135846f491a283e3\n",
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            "  Created wheel for configobj: filename=configobj-5.0.6-py3-none-any.whl size=34547 sha256=c68df1bc4c1b0cfd33a554189e8ef6fd96e6dc6950256f5dbecd3e66954c6b27\n",
            "  Stored in directory: /root/.cache/pip/wheels/0d/c4/19/13d74440f2a571841db6b6e0a273694327498884dafb9cf978\n",
            "  Building wheel for databricks-cli (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for databricks-cli: filename=databricks_cli-0.14.3-py3-none-any.whl size=100557 sha256=efb92a44ebd2e93fe78946e2d4f2b620e8f577ada383cd813032418711d61602\n",
            "  Stored in directory: /root/.cache/pip/wheels/3b/60/14/6930445b08959fbdf4e3029bac7e1f2cccb2e94df8afa00b29\n",
            "  Building wheel for dpath (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for dpath: filename=dpath-2.0.1-py3-none-any.whl size=15153 sha256=5cc4cf9cedecd81895a0175099f15ae4a8e5a6f1b19db799bc917bdb05659cc2\n",
            "  Stored in directory: /root/.cache/pip/wheels/bc/f8/ae/bc69cb5f61393ebf9ade4cde41d1a813d35bfe78263a26f99e\n",
            "  Building wheel for flufl.lock (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for flufl.lock: filename=flufl.lock-3.2-py3-none-any.whl size=19927 sha256=6064ed56ed36027b57c241ad6fca76007670ccf96e5ae53d77d02fa24ee31415\n",
            "  Stored in directory: /root/.cache/pip/wheels/49/68/a0/8e7cb7bbf4990fc10b5a082aa0eb3ac66787ca11e8eca445b2\n",
            "  Building wheel for future (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491070 sha256=b85f129250e33a96b8a476251ec4c98edc350fb617eaa1de9646f9f4fdd7fb2b\n",
            "  Stored in directory: /root/.cache/pip/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0\n",
            "  Building wheel for nanotime (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for nanotime: filename=nanotime-0.5.2-py3-none-any.whl size=2440 sha256=8325d4bdfbddf4cbb9dc141db939f22090023f6ceaabb67b02dd9d2493f9bc65\n",
            "  Stored in directory: /root/.cache/pip/wheels/b8/92/aa/456d462c908b4e210c3928f778d28f94049fc9e47af8b191c9\n",
            "  Building wheel for pygtrie (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pygtrie: filename=pygtrie-2.4.2-py3-none-any.whl size=19061 sha256=c885730a14012d1d97898726aec065ca2f503421dd3330de10cadb926aaa63dc\n",
            "  Stored in directory: /root/.cache/pip/wheels/d3/f8/ba/1d828b1603ea422686eb694253a43cb3a5901ea4696c1e0603\n",
            "  Building wheel for subprocess32 (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for subprocess32: filename=subprocess32-3.5.4-py3-none-any.whl size=6502 sha256=b55b84ad9d450255b9c7bc32e328f8471170c7e3975cb46b383c6d89bc8d72ad\n",
            "  Stored in directory: /root/.cache/pip/wheels/50/ca/fa/8fca8d246e64f19488d07567547ddec8eb084e8c0d7a59226a\n",
            "  Building wheel for atpublic (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for atpublic: filename=atpublic-2.3-py3-none-any.whl size=5032 sha256=019f21af23c4b11ec70f336a4194110bdcfbe61e2cdfb7532f9d13f3d8c32635\n",
            "  Stored in directory: /root/.cache/pip/wheels/46/d9/0f/54be2ecb4bcb1612f987f0b6482d88fa7f3e43d3946f36a32a\n",
            "  Building wheel for ftfy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for ftfy: filename=ftfy-6.0.3-py3-none-any.whl size=41934 sha256=f58f0e83478872c6274b95f9f2dee3f60feb907321b29e2cc18f6b287e5de5e6\n",
            "  Stored in directory: /root/.cache/pip/wheels/19/f5/38/273eb3b5e76dfd850619312f693716ac4518b498f5ffb6f56d\n",
            "  Building wheel for mailchecker (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for mailchecker: filename=mailchecker-4.0.11-py3-none-any.whl size=201671 sha256=fabd45c4fc8d2d1dff0e53762c86f2aaa27af70859c176d8ffed869b1b48aaee\n",
            "  Stored in directory: /root/.cache/pip/wheels/0b/cd/39/230bf7caff55afc08eb4a1d433731706d76fde0b95d70df3ca\n",
            "  Building wheel for pathtools (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pathtools: filename=pathtools-0.1.2-py3-none-any.whl size=8806 sha256=dbbfffcb5d62091a41f31404cc85b6ca856807fcfc51914ab4c52ce866a7e292\n",
            "  Stored in directory: /root/.cache/pip/wheels/3e/31/09/fa59cef12cdcfecc627b3d24273699f390e71828921b2cbba2\n",
            "  Building wheel for prometheus-flask-exporter (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for prometheus-flask-exporter: filename=prometheus_flask_exporter-0.18.2-py3-none-any.whl size=17416 sha256=b3017f91eee762a57f7333192b1d57ebcd7ba2b699b63ded20ffef29ce24a4b7\n",
            "  Stored in directory: /root/.cache/pip/wheels/6a/1e/1c/c765920cb92b2f0343d2dd8b481a407cee2823f9b4bbd2e52a\n",
            "Successfully built alembic configobj databricks-cli dpath flufl.lock future nanotime pygtrie subprocess32 atpublic ftfy mailchecker pathtools prometheus-flask-exporter\n",
            "Installing collected packages: urllib3, requests, multidict, yarl, smmap, jmespath, async-timeout, xmltodict, websocket-client, tqdm, ruamel.yaml.clib, pyyaml, python-fsutil, python-editor, ply, phonenumbers, numpy, Mako, mailchecker, gitdb, future, ftfy, fsspec, commonmark, colorama, botocore, atpublic, aiohttp, zc.lockfile, xxhash, voluptuous, torchmetrics, tokenizers, tensorboard, subprocess32, shtab, shortuuid, sentry-sdk, sacremoses, s3transfer, ruamel.yaml, rich, querystring-parser, python-benedict, pygtrie, pygit2, pyflakes, pyDeprecate, pycodestyle, psutil, prometheus-flask-exporter, pathtools, pathspec, nanotime, mccabe, jsonpath-ng, huggingface-hub, gunicorn, grandalf, gitpython, funcy, flufl.lock, flatten-dict, dulwich, dpath, docutils, docker-pycreds, docker, distro, diskcache, dictdiffer, databricks-cli, configparser, configobj, alembic, wandb, transformers, rouge-score, pytorch-lightning, python-dotenv, mlflow, flake8, dvc, datasets, dagshub, awscli\n",
            "  Attempting uninstall: urllib3\n",
            "    Found existing installation: urllib3 1.24.3\n",
            "    Uninstalling urllib3-1.24.3:\n",
            "      Successfully uninstalled urllib3-1.24.3\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/urllib3\n",
            "  sysconfig: /usr/include/python3.7m/urllib3\u001b[0m\n",
            "  Attempting uninstall: requests\n",
            "    Found existing installation: requests 2.23.0\n",
            "    Uninstalling requests-2.23.0:\n",
            "      Successfully uninstalled requests-2.23.0\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/requests\n",
            "  sysconfig: /usr/include/python3.7m/requests\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/multidict\n",
            "  sysconfig: /usr/include/python3.7m/multidict\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/yarl\n",
            "  sysconfig: /usr/include/python3.7m/yarl\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/smmap\n",
            "  sysconfig: /usr/include/python3.7m/smmap\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/jmespath\n",
            "  sysconfig: /usr/include/python3.7m/jmespath\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/async-timeout\n",
            "  sysconfig: /usr/include/python3.7m/async-timeout\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/xmltodict\n",
            "  sysconfig: /usr/include/python3.7m/xmltodict\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/websocket-client\n",
            "  sysconfig: /usr/include/python3.7m/websocket-client\u001b[0m\n",
            "  Attempting uninstall: tqdm\n",
            "    Found existing installation: tqdm 4.41.1\n",
            "    Uninstalling tqdm-4.41.1:\n",
            "      Successfully uninstalled tqdm-4.41.1\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/tqdm\n",
            "  sysconfig: /usr/include/python3.7m/tqdm\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/ruamel.yaml.clib\n",
            "  sysconfig: /usr/include/python3.7m/ruamel.yaml.clib\u001b[0m\n",
            "  Attempting uninstall: pyyaml\n",
            "    Found existing installation: PyYAML 3.13\n",
            "    Uninstalling PyYAML-3.13:\n",
            "      Successfully uninstalled PyYAML-3.13\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/pyyaml\n",
            "  sysconfig: /usr/include/python3.7m/pyyaml\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/python-fsutil\n",
            "  sysconfig: /usr/include/python3.7m/python-fsutil\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/python-editor\n",
            "  sysconfig: /usr/include/python3.7m/python-editor\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/ply\n",
            "  sysconfig: /usr/include/python3.7m/ply\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/phonenumbers\n",
            "  sysconfig: /usr/include/python3.7m/phonenumbers\u001b[0m\n",
            "  Attempting uninstall: numpy\n",
            "    Found existing installation: numpy 1.19.5\n",
            "    Uninstalling numpy-1.19.5:\n",
            "      Successfully uninstalled numpy-1.19.5\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/numpy\n",
            "  sysconfig: /usr/include/python3.7m/numpy\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/Mako\n",
            "  sysconfig: /usr/include/python3.7m/Mako\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/mailchecker\n",
            "  sysconfig: /usr/include/python3.7m/mailchecker\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/gitdb\n",
            "  sysconfig: /usr/include/python3.7m/gitdb\u001b[0m\n",
            "  Attempting uninstall: future\n",
            "    Found existing installation: future 0.16.0\n",
            "    Uninstalling future-0.16.0:\n",
            "      Successfully uninstalled future-0.16.0\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/future\n",
            "  sysconfig: /usr/include/python3.7m/future\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/ftfy\n",
            "  sysconfig: /usr/include/python3.7m/ftfy\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/fsspec\n",
            "  sysconfig: /usr/include/python3.7m/fsspec\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/commonmark\n",
            "  sysconfig: /usr/include/python3.7m/commonmark\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/colorama\n",
            "  sysconfig: /usr/include/python3.7m/colorama\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/botocore\n",
            "  sysconfig: /usr/include/python3.7m/botocore\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/atpublic\n",
            "  sysconfig: /usr/include/python3.7m/atpublic\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/aiohttp\n",
            "  sysconfig: /usr/include/python3.7m/aiohttp\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/zc.lockfile\n",
            "  sysconfig: /usr/include/python3.7m/zc.lockfile\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/xxhash\n",
            "  sysconfig: /usr/include/python3.7m/xxhash\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/voluptuous\n",
            "  sysconfig: /usr/include/python3.7m/voluptuous\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/torchmetrics\n",
            "  sysconfig: /usr/include/python3.7m/torchmetrics\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/tokenizers\n",
            "  sysconfig: /usr/include/python3.7m/tokenizers\u001b[0m\n",
            "  Attempting uninstall: tensorboard\n",
            "    Found existing installation: tensorboard 2.5.0\n",
            "    Uninstalling tensorboard-2.5.0:\n",
            "      Successfully uninstalled tensorboard-2.5.0\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/tensorboard\n",
            "  sysconfig: /usr/include/python3.7m/tensorboard\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/subprocess32\n",
            "  sysconfig: /usr/include/python3.7m/subprocess32\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/shtab\n",
            "  sysconfig: /usr/include/python3.7m/shtab\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/shortuuid\n",
            "  sysconfig: /usr/include/python3.7m/shortuuid\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/sentry-sdk\n",
            "  sysconfig: /usr/include/python3.7m/sentry-sdk\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/sacremoses\n",
            "  sysconfig: /usr/include/python3.7m/sacremoses\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/s3transfer\n",
            "  sysconfig: /usr/include/python3.7m/s3transfer\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/ruamel.yaml\n",
            "  sysconfig: /usr/include/python3.7m/ruamel.yaml\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/rich\n",
            "  sysconfig: /usr/include/python3.7m/rich\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/querystring-parser\n",
            "  sysconfig: /usr/include/python3.7m/querystring-parser\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/python-benedict\n",
            "  sysconfig: /usr/include/python3.7m/python-benedict\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/pygtrie\n",
            "  sysconfig: /usr/include/python3.7m/pygtrie\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/pygit2\n",
            "  sysconfig: /usr/include/python3.7m/pygit2\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/pyflakes\n",
            "  sysconfig: /usr/include/python3.7m/pyflakes\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/pyDeprecate\n",
            "  sysconfig: /usr/include/python3.7m/pyDeprecate\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/pycodestyle\n",
            "  sysconfig: /usr/include/python3.7m/pycodestyle\u001b[0m\n",
            "  Attempting uninstall: psutil\n",
            "    Found existing installation: psutil 5.4.8\n",
            "    Uninstalling psutil-5.4.8:\n",
            "      Successfully uninstalled psutil-5.4.8\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/psutil\n",
            "  sysconfig: /usr/include/python3.7m/psutil\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/prometheus-flask-exporter\n",
            "  sysconfig: /usr/include/python3.7m/prometheus-flask-exporter\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/pathtools\n",
            "  sysconfig: /usr/include/python3.7m/pathtools\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/pathspec\n",
            "  sysconfig: /usr/include/python3.7m/pathspec\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/nanotime\n",
            "  sysconfig: /usr/include/python3.7m/nanotime\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/mccabe\n",
            "  sysconfig: /usr/include/python3.7m/mccabe\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/jsonpath-ng\n",
            "  sysconfig: /usr/include/python3.7m/jsonpath-ng\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/huggingface-hub\n",
            "  sysconfig: /usr/include/python3.7m/huggingface-hub\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/gunicorn\n",
            "  sysconfig: /usr/include/python3.7m/gunicorn\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/grandalf\n",
            "  sysconfig: /usr/include/python3.7m/grandalf\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/gitpython\n",
            "  sysconfig: /usr/include/python3.7m/gitpython\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/funcy\n",
            "  sysconfig: /usr/include/python3.7m/funcy\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/flufl.lock\n",
            "  sysconfig: /usr/include/python3.7m/flufl.lock\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/flatten-dict\n",
            "  sysconfig: /usr/include/python3.7m/flatten-dict\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/dulwich\n",
            "  sysconfig: /usr/include/python3.7m/dulwich\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/dpath\n",
            "  sysconfig: /usr/include/python3.7m/dpath\u001b[0m\n",
            "  Attempting uninstall: docutils\n",
            "    Found existing installation: docutils 0.17.1\n",
            "    Uninstalling docutils-0.17.1:\n",
            "      Successfully uninstalled docutils-0.17.1\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/docutils\n",
            "  sysconfig: /usr/include/python3.7m/docutils\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/docker-pycreds\n",
            "  sysconfig: /usr/include/python3.7m/docker-pycreds\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/docker\n",
            "  sysconfig: /usr/include/python3.7m/docker\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/distro\n",
            "  sysconfig: /usr/include/python3.7m/distro\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/diskcache\n",
            "  sysconfig: /usr/include/python3.7m/diskcache\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/dictdiffer\n",
            "  sysconfig: /usr/include/python3.7m/dictdiffer\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/databricks-cli\n",
            "  sysconfig: /usr/include/python3.7m/databricks-cli\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/configparser\n",
            "  sysconfig: /usr/include/python3.7m/configparser\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/configobj\n",
            "  sysconfig: /usr/include/python3.7m/configobj\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/alembic\n",
            "  sysconfig: /usr/include/python3.7m/alembic\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/wandb\n",
            "  sysconfig: /usr/include/python3.7m/wandb\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/transformers\n",
            "  sysconfig: /usr/include/python3.7m/transformers\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/rouge-score\n",
            "  sysconfig: /usr/include/python3.7m/rouge-score\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/pytorch-lightning\n",
            "  sysconfig: /usr/include/python3.7m/pytorch-lightning\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/python-dotenv\n",
            "  sysconfig: /usr/include/python3.7m/python-dotenv\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/mlflow\n",
            "  sysconfig: /usr/include/python3.7m/mlflow\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/flake8\n",
            "  sysconfig: /usr/include/python3.7m/flake8\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/dvc\n",
            "  sysconfig: /usr/include/python3.7m/dvc\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/datasets\n",
            "  sysconfig: /usr/include/python3.7m/datasets\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/dagshub\n",
            "  sysconfig: /usr/include/python3.7m/dagshub\u001b[0m\n",
            "\u001b[33m  WARNING: Value for scheme.headers does not match. Please report this to <https://github.com/pypa/pip/issues/10151>\n",
            "  distutils: /usr/local/include/python3.7/awscli\n",
            "  sysconfig: /usr/include/python3.7m/awscli\u001b[0m\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "tensorflow 2.5.0 requires numpy~=1.19.2, but you have numpy 1.21.1 which is incompatible.\n",
            "tensorflow 2.5.0 requires tensorboard~=2.5, but you have tensorboard 2.4.1 which is incompatible.\n",
            "google-colab 1.0.0 requires requests~=2.23.0, but you have requests 2.26.0 which is incompatible.\n",
            "datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\n",
            "albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible.\u001b[0m\n",
            "Successfully installed Mako-1.1.4 aiohttp-3.7.4.post0 alembic-1.4.1 async-timeout-3.0.1 atpublic-2.3 awscli-1.20.6 botocore-1.21.6 colorama-0.4.3 commonmark-0.9.1 configobj-5.0.6 configparser-5.0.2 dagshub-0.1.6 databricks-cli-0.14.3 datasets-1.10.2 dictdiffer-0.9.0 diskcache-5.2.1 distro-1.5.0 docker-5.0.0 docker-pycreds-0.4.0 docutils-0.15.2 dpath-2.0.1 dulwich-0.20.24 dvc-2.5.4 flake8-3.9.2 flatten-dict-0.4.1 flufl.lock-3.2 fsspec-2021.7.0 ftfy-6.0.3 funcy-1.16 future-0.18.2 gitdb-4.0.7 gitpython-3.1.18 grandalf-0.6 gunicorn-20.1.0 huggingface-hub-0.0.12 jmespath-0.10.0 jsonpath-ng-1.5.3 mailchecker-4.0.11 mccabe-0.6.1 mlflow-1.19.0 multidict-5.1.0 nanotime-0.5.2 numpy-1.21.1 pathspec-0.9.0 pathtools-0.1.2 phonenumbers-8.12.28 ply-3.11 prometheus-flask-exporter-0.18.2 psutil-5.8.0 pyDeprecate-0.3.0 pycodestyle-2.7.0 pyflakes-2.3.1 pygit2-1.6.1 pygtrie-2.4.2 python-benedict-0.24.0 python-dotenv-0.19.0 python-editor-1.0.4 python-fsutil-0.5.0 pytorch-lightning-1.3.5 pyyaml-5.4.1 querystring-parser-1.2.4 requests-2.26.0 rich-10.6.0 rouge-score-0.0.4 ruamel.yaml-0.17.10 ruamel.yaml.clib-0.2.6 s3transfer-0.5.0 sacremoses-0.0.45 sentry-sdk-1.3.0 shortuuid-1.0.1 shtab-1.3.9 smmap-4.0.0 subprocess32-3.5.4 tensorboard-2.4.1 tokenizers-0.10.3 torchmetrics-0.4.1 tqdm-4.61.2 transformers-4.9.0 urllib3-1.26.6 voluptuous-0.12.1 wandb-0.11.0 websocket-client-1.1.0 xmltodict-0.12.0 xxhash-2.0.2 yarl-1.6.3 zc.lockfile-2.0\n",
            "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bXKYITHyFBnz",
        "outputId": "27cf4135-df2f-4114-cb58-81ff834a0215"
      },
      "source": [
        "!make run"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "dvc repro dvc.yaml\n",
            "Running stage 'data.dvc':\n",
            "> python src/data/make_dataset.py\n",
            "{'data': 'cnn_dailymail', 'batch_size': 2, 'num_workers': 2, 'model_type': 't5', 'model_name': 't5-small', 'learning_rate': '1e-4', 'epochs': 10, 'source_dir': 'src', 'model_dir': 'models', 'metric': 'rouge', 'split': 0.01, 'use_gpu': True}\n",
            "Reusing dataset cnn_dailymail (/root/.cache/huggingface/datasets/cnn_dailymail/3.0.0/3.0.0/3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234)\n",
            "Reusing dataset cnn_dailymail (/root/.cache/huggingface/datasets/cnn_dailymail/3.0.0/3.0.0/3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234)\n",
            "Reusing dataset cnn_dailymail (/root/.cache/huggingface/datasets/cnn_dailymail/3.0.0/3.0.0/3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234)\n",
            "Computing md5 for a large file 'data/raw/train.csv'. This is only done once.\n",
            "Computing file/dir hashes (only done once)          |2.00 [00:00,   8.28md5/s]\n",
            "data/raw/train.csv:   0% 0.00/1.17G [00:00<?, ?B/s]\u001b[A\n",
            "data/raw/train.csv:   0% 0.00/1.17G [00:00<?, ?B/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   0% 4.00M/1.17G [00:00<00:31, 39.4MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   1% 7.00M/1.17G [00:00<00:38, 32.6MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   1% 14.0M/1.17G [00:00<00:34, 36.0MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   1% 17.0M/1.17G [00:00<00:36, 34.1MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   2% 21.0M/1.17G [00:00<00:34, 35.2MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   2% 27.0M/1.17G [00:00<00:28, 43.3MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   3% 31.0M/1.17G [00:00<00:35, 34.1MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   4% 48.0M/1.17G [00:01<00:17, 68.3MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   4% 51.0M/1.17G [00:01<00:20, 58.1MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   5% 58.0M/1.17G [00:01<00:23, 50.8MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   5% 61.0M/1.17G [00:01<00:25, 45.8MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   6% 68.0M/1.17G [00:01<00:27, 42.8MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   6% 73.0M/1.17G [00:01<00:26, 44.9MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   6% 75.0M/1.17G [00:01<00:31, 37.7MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   7% 82.0M/1.17G [00:02<00:30, 38.5MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   7% 85.0M/1.17G [00:02<00:31, 36.6MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   8% 92.0M/1.17G [00:02<00:25, 45.5MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   8% 97.0M/1.17G [00:02<00:30, 37.3MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   9% 104M/1.17G [00:02<00:30, 37.7MB/s{'info': ''}] \u001b[A\n",
            "data/raw/train.csv:   9% 107M/1.17G [00:02<00:31, 36.1MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:   9% 111M/1.17G [00:02<00:31, 36.4MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  10% 118M/1.17G [00:03<00:30, 37.1MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  10% 123M/1.17G [00:03<00:27, 40.4MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  10% 125M/1.17G [00:03<00:32, 34.5MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  11% 131M/1.17G [00:03<00:31, 34.9MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  11% 135M/1.17G [00:03<00:31, 35.6MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  12% 142M/1.17G [00:03<00:29, 37.2MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  12% 145M/1.17G [00:03<00:30, 35.6MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  12% 149M/1.17G [00:03<00:30, 35.4MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  13% 156M/1.17G [00:04<00:29, 37.1MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  13% 159M/1.17G [00:04<00:30, 35.5MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  14% 163M/1.17G [00:04<00:30, 36.0MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  14% 169M/1.17G [00:04<00:29, 35.9MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  14% 173M/1.17G [00:04<00:29, 36.3MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  15% 180M/1.17G [00:04<00:28, 37.0MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  15% 183M/1.17G [00:04<00:29, 35.5MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  16% 187M/1.17G [00:05<00:29, 36.0MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  16% 194M/1.17G [00:05<00:28, 36.9MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  17% 199M/1.17G [00:05<00:25, 40.2MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  17% 201M/1.17G [00:05<00:31, 32.9MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  17% 208M/1.17G [00:05<00:28, 36.9MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  18% 211M/1.17G [00:05<00:29, 35.2MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  18% 215M/1.17G [00:05<00:28, 35.7MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  19% 221M/1.17G [00:06<00:28, 35.9MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  19% 225M/1.17G [00:06<00:28, 36.3MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  19% 232M/1.17G [00:06<00:26, 37.6MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  20% 235M/1.17G [00:06<00:27, 35.9MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  23% 279M/1.17G [00:06<00:06, 138MB/s{'info': ''}] \u001b[A\n",
            "data/raw/train.csv:  27% 322M/1.17G [00:06<00:04, 218MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  31% 365M/1.17G [00:06<00:03, 280MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  34% 405M/1.17G [00:06<00:02, 317MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  37% 445M/1.17G [00:06<00:02, 346MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  41% 487M/1.17G [00:07<00:01, 371MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  44% 531M/1.17G [00:07<00:01, 396MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  48% 574M/1.17G [00:07<00:01, 412MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  52% 617M/1.17G [00:07<00:01, 422MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  55% 661M/1.17G [00:07<00:01, 431MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  59% 705M/1.17G [00:07<00:01, 438MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  63% 749M/1.17G [00:07<00:01, 443MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  66% 793M/1.17G [00:07<00:00, 447MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  70% 837M/1.17G [00:07<00:00, 450MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  74% 881M/1.17G [00:07<00:00, 453MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  77% 925M/1.17G [00:08<00:00, 454MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  81% 969M/1.17G [00:08<00:00, 454MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  85% 0.99G/1.17G [00:08<00:00, 454MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  88% 1.03G/1.17G [00:08<00:00, 452MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  92% 1.07G/1.17G [00:08<00:00, 448MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  95% 1.11G/1.17G [00:08<00:00, 414MB/s{'info': ''}]\u001b[A\n",
            "data/raw/train.csv:  98% 1.14G/1.17G [00:08<00:00, 392MB/s{'info': ''}]\u001b[A\n",
            "                                                                  \n",
            "Running stage 'process_data':\n",
            "> python src/data/process_data.py\n",
            "tcmalloc: large alloc 1073741824 bytes == 0x55faedd64000 @  0x7f3f3506d2a4 0x7f3f22dfc9f5 0x7f3f22dfdd42 0x7f3f22dff45e 0x7f3f22dd1068 0x7f3f22dd0510 0x7f3f22dcbf4e 0x7f3f22db0fe4 0x55faa9f2f010 0x55faaa020c0d 0x55faa9fa30d8 0x55faa9f9e235 0x55faa9f3073a 0x55faa9f9ed67 0x55faa9f9dc35 0x55faa9f3073a 0x55faa9f9ed67 0x55faa9f3065a 0x55faa9f9eb0e 0x55faa9f9dc35 0x55faa9f3073a 0x55faa9fa2f40 0x55faa9f9dc35 0x55faa9f3073a 0x55faa9f9f93b 0x55faa9f9dc35 0x55faa9f9d933 0x55faaa067402 0x55faaa06777d 0x55faaa067626 0x55faaa03f313\n",
            "tcmalloc: large alloc 2147483648 bytes == 0x55fb2dd64000 @  0x7f3f3506d2a4 0x7f3f22dfc9f5 0x7f3f22dfdd42 0x7f3f22dff45e 0x7f3f22dd1068 0x7f3f22dd0510 0x7f3f22dcbf4e 0x7f3f22db0fe4 0x55faa9f2f010 0x55faaa020c0d 0x55faa9fa30d8 0x55faa9f9e235 0x55faa9f3073a 0x55faa9f9ed67 0x55faa9f9dc35 0x55faa9f3073a 0x55faa9f9ed67 0x55faa9f3065a 0x55faa9f9eb0e 0x55faa9f9dc35 0x55faa9f3073a 0x55faa9fa2f40 0x55faa9f9dc35 0x55faa9f3073a 0x55faa9f9f93b 0x55faa9f9dc35 0x55faa9f9d933 0x55faaa067402 0x55faaa06777d 0x55faaa067626 0x55faaa03f313\n",
            "\u001b[33mWARNING\u001b[39m: 'data/raw' is empty.\n",
            "Updating lock file 'dvc.lock'\n",
            "\n",
            "Running stage 'train':\n",
            "> python src/models/train_model.py\n",
            "2021-07-26 08:40:36.312844: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0\n",
            "Global seed set to 42\n",
            "GPU available: True, used: True\n",
            "TPU available: False, using: 0 TPU cores\n",
            "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Currently logged in as: \u001b[33mgagan3012\u001b[0m (use `wandb login --relogin` to force relogin)\n",
            "2021-07-26 08:40:55.135028: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Tracking run with wandb version 0.11.0\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Syncing run \u001b[33mearthy-snowflake-11\u001b[0m\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: ⭐️ View project at \u001b[34m\u001b[4mhttps://wandb.ai/gagan3012/summarization-dagshub\u001b[0m\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: πŸš€ View run at \u001b[34m\u001b[4mhttps://wandb.ai/gagan3012/summarization-dagshub/runs/11issxq0\u001b[0m\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Run data is saved locally in /content/summarization/wandb/run-20210726_084053-11issxq0\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Run `wandb offline` to turn off syncing.\n",
            "\n",
            "\n",
            "  | Name  | Type                       | Params\n",
            "-----------------------------------------------------\n",
            "0 | model | T5ForConditionalGeneration | 60.5 M\n",
            "-----------------------------------------------------\n",
            "60.5 M    Trainable params\n",
            "0         Non-trainable params\n",
            "60.5 M    Total params\n",
            "242.026   Total estimated model params size (MB)\n",
            "Global seed set to 42\n",
            "Epoch 0:  94% 15/16 [00:03<00:00,  4.11it/s, loss=2.75, v_num=sxq0, val_loss=5.150, train_loss=5.590]\n",
            "Validating: 0it [00:00, ?it/s]\u001b[A\n",
            "Validating:   0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
            "Epoch 0: 100% 16/16 [00:03<00:00,  4.10it/s, loss=2.75, v_num=sxq0, val_loss=5.040, train_loss=2.170]\n",
            "Epoch 1:  94% 15/16 [00:03<00:00,  4.73it/s, loss=2.78, v_num=sxq0, val_loss=5.040, train_loss=3.390]\n",
            "Validating: 0it [00:00, ?it/s]\u001b[A\n",
            "Validating:   0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
            "Epoch 1: 100% 16/16 [00:03<00:00,  4.65it/s, loss=2.78, v_num=sxq0, val_loss=4.820, train_loss=3.460]\n",
            "Epoch 2:  94% 15/16 [00:03<00:00,  4.16it/s, loss=2.79, v_num=sxq0, val_loss=4.820, train_loss=2.600]\n",
            "Validating: 0it [00:00, ?it/s]\u001b[A\n",
            "Validating:   0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
            "Epoch 2: 100% 16/16 [00:03<00:00,  4.09it/s, loss=2.79, v_num=sxq0, val_loss=4.540, train_loss=2.430]\n",
            "Epoch 3:  94% 15/16 [00:03<00:00,  4.20it/s, loss=2.59, v_num=sxq0, val_loss=4.540, train_loss=2.750]\n",
            "Validating: 0it [00:00, ?it/s]\u001b[A\n",
            "Validating:   0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
            "Epoch 3: 100% 16/16 [00:03<00:00,  4.11it/s, loss=2.59, v_num=sxq0, val_loss=4.270, train_loss=1.770]\n",
            "Epoch 4:  94% 15/16 [00:03<00:00,  4.43it/s, loss=2.54, v_num=sxq0, val_loss=4.270, train_loss=2.000]\n",
            "Validating: 0it [00:00, ?it/s]\u001b[A\n",
            "Validating:   0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
            "Epoch 4: 100% 16/16 [00:03<00:00,  4.32it/s, loss=2.54, v_num=sxq0, val_loss=4.000, train_loss=3.500]\n",
            "Epoch 5:  94% 15/16 [00:04<00:00,  3.69it/s, loss=2.48, v_num=sxq0, val_loss=4.000, train_loss=3.100]\n",
            "Validating: 0it [00:00, ?it/s]\u001b[A\n",
            "Validating:   0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
            "Epoch 5: 100% 16/16 [00:04<00:00,  3.59it/s, loss=2.48, v_num=sxq0, val_loss=3.780, train_loss=2.930]\n",
            "Epoch 6:  94% 15/16 [00:03<00:00,  3.79it/s, loss=2.5, v_num=sxq0, val_loss=3.780, train_loss=1.500]\n",
            "Validating: 0it [00:00, ?it/s]\u001b[A\n",
            "Validating:   0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
            "Epoch 6: 100% 16/16 [00:04<00:00,  3.71it/s, loss=2.5, v_num=sxq0, val_loss=3.580, train_loss=3.550]\n",
            "Epoch 7:  94% 15/16 [00:03<00:00,  3.79it/s, loss=2.38, v_num=sxq0, val_loss=3.580, train_loss=1.640]\n",
            "Validating: 0it [00:00, ?it/s]\u001b[A\n",
            "Validating:   0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
            "Epoch 7: 100% 16/16 [00:04<00:00,  3.70it/s, loss=2.38, v_num=sxq0, val_loss=3.410, train_loss=3.470]\n",
            "Epoch 8:  94% 15/16 [00:04<00:00,  3.70it/s, loss=2.49, v_num=sxq0, val_loss=3.410, train_loss=1.480]\n",
            "Validating: 0it [00:00, ?it/s]\u001b[A\n",
            "Validating:   0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
            "Epoch 8: 100% 16/16 [00:04<00:00,  3.63it/s, loss=2.49, v_num=sxq0, val_loss=3.280, train_loss=4.970]\n",
            "Epoch 9:  94% 15/16 [00:03<00:00,  4.28it/s, loss=2.33, v_num=sxq0, val_loss=3.280, train_loss=2.130]\n",
            "Validating: 0it [00:00, ?it/s]\u001b[A\n",
            "Validating:   0% 0/1 [00:00<?, ?it/s]\u001b[A\n",
            "Epoch 9: 100% 16/16 [00:03<00:00,  4.19it/s, loss=2.33, v_num=sxq0, val_loss=3.120, train_loss=2.100]\n",
            "Epoch 9: 100% 16/16 [00:15<00:00,  1.00it/s, loss=2.33, v_num=sxq0, val_loss=3.120, train_loss=2.100]\n",
            "\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Waiting for W&B process to finish, PID 750\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Program ended successfully.\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                                                                                \n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Find user logs for this run at: /content/summarization/wandb/run-20210726_084053-11issxq0/logs/debug.log\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Find internal logs for this run at: /content/summarization/wandb/run-20210726_084053-11issxq0/logs/debug-internal.log\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Run summary:\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:              val_loss 3.12148\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                 epoch 9\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:   trainer/global_step 149\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:              _runtime 159\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:            _timestamp 1627289013\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                 _step 12\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:            train_loss 2.09905\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Run history:\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:              val_loss β–ˆβ–‡β–†β–…β–„β–ƒβ–ƒβ–‚β–‚β–\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                 epoch β–β–‚β–ƒβ–ƒβ–ƒβ–„β–…β–†β–†β–†β–‡β–ˆβ–ˆ\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:   trainer/global_step β–β–‚β–ƒβ–ƒβ–ƒβ–„β–…β–…β–†β–†β–‡β–ˆβ–ˆ\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:              _runtime β–β–β–‚β–‚β–ƒβ–„β–…β–…β–…β–†β–‡β–‡β–ˆ\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:            _timestamp β–β–β–‚β–‚β–ƒβ–„β–…β–…β–…β–†β–‡β–‡β–ˆ\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:                 _step β–β–‚β–‚β–ƒβ–ƒβ–„β–…β–…β–†β–†β–‡β–‡β–ˆ\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m:            train_loss β–β–ˆβ–‡\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: \n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)\n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: \n",
            "\u001b[34m\u001b[1mwandb\u001b[0m: Synced \u001b[33mearthy-snowflake-11\u001b[0m: \u001b[34mhttps://wandb.ai/gagan3012/summarization-dagshub/runs/11issxq0\u001b[0m\n",
            "Updating lock file 'dvc.lock'\n",
            "\n",
            "Running stage 'eval':\n",
            "> python src/models/evaluate_model.py\n",
            "2021-07-26 08:43:51.489220: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0\n",
            "Global seed set to 42\n",
            "/usr/local/lib/python3.7/dist-packages/torch/_tensor.py:575: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values.\n",
            "To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at  /pytorch/aten/src/ATen/native/BinaryOps.cpp:467.)\n",
            "  return torch.floor_divide(self, other)\n",
            "Token indices sequence length is longer than the specified maximum sequence length for this model (646 > 512). Running this sequence through the model will result in indexing errors\n",
            "<class 'list'> <class 'list'>\n",
            "Updating lock file 'dvc.lock'\n",
            "\n",
            "To track the changes with git, run:\n",
            "\n",
            "\tgit add data.dvc dvc.lock\n",
            "Use `dvc push` to send your updates to remote storage.\n",
            "\u001b[0m"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J0n8bj738wxb"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}