run.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gL8hkJqFhfic",
        "outputId": "99ab7805-7ee5-4a1a-eeef-b5e438bfbdeb"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "# use this only if you are using google colab\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "q0ajKkfTdUXH"
      },
      "source": [
        "# Requirements Installation"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9k1yz3LXaFH6",
        "outputId": "89d508ce-2f4d-4648-f3ab-f155e02f220e"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting requests==2.27.1\n",
            "  Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)\n",
            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/63.1 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m63.1/63.1 kB\u001b[0m \u001b[31m2.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting urllib3<1.27,>=1.21.1 (from requests==2.27.1)\n",
            "  Downloading urllib3-1.26.18-py2.py3-none-any.whl (143 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m143.8/143.8 kB\u001b[0m \u001b[31m8.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests==2.27.1) (2023.7.22)\n",
            "Collecting charset-normalizer~=2.0.0 (from requests==2.27.1)\n",
            "  Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests==2.27.1) (3.4)\n",
            "Installing collected packages: urllib3, charset-normalizer, requests\n",
            "  Attempting uninstall: urllib3\n",
            "    Found existing installation: urllib3 2.0.7\n",
            "    Uninstalling urllib3-2.0.7:\n",
            "      Successfully uninstalled urllib3-2.0.7\n",
            "  Attempting uninstall: charset-normalizer\n",
            "    Found existing installation: charset-normalizer 3.3.2\n",
            "    Uninstalling charset-normalizer-3.3.2:\n",
            "      Successfully uninstalled charset-normalizer-3.3.2\n",
            "  Attempting uninstall: requests\n",
            "    Found existing installation: requests 2.31.0\n",
            "    Uninstalling requests-2.31.0:\n",
            "      Successfully uninstalled requests-2.31.0\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",
            "google-colab 1.0.0 requires requests==2.31.0, but you have requests 2.27.1 which is incompatible.\n",
            "yfinance 0.2.31 requires requests>=2.31, but you have requests 2.27.1 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed charset-normalizer-2.0.12 requests-2.27.1 urllib3-1.26.18\n"
          ]
        }
      ],
      "source": [
        "%pip install requests==2.27.1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4L_9ybtSb0Ak",
        "outputId": "64540f32-184d-4a0f-fca2-9f7186b0e53f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting scikit-learn==1.0.2\n",
            "  Downloading scikit_learn-1.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (26.5 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m26.5/26.5 MB\u001b[0m \u001b[31m50.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: numpy>=1.14.6 in /usr/local/lib/python3.10/dist-packages (from scikit-learn==1.0.2) (1.23.5)\n",
            "Requirement already satisfied: scipy>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn==1.0.2) (1.11.3)\n",
            "Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.10/dist-packages (from scikit-learn==1.0.2) (1.3.2)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn==1.0.2) (3.2.0)\n",
            "Installing collected packages: scikit-learn\n",
            "  Attempting uninstall: scikit-learn\n",
            "    Found existing installation: scikit-learn 1.2.2\n",
            "    Uninstalling scikit-learn-1.2.2:\n",
            "      Successfully uninstalled scikit-learn-1.2.2\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",
            "bigframes 0.13.0 requires scikit-learn>=1.2.2, but you have scikit-learn 1.0.2 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed scikit-learn-1.0.2\n"
          ]
        }
      ],
      "source": [
        "%pip install scikit-learn==1.0.2"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-dlWijECclhl",
        "outputId": "d8c412ad-9ee7-4809-9e84-a71e0f9301f9"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting timm==0.6.5\n",
            "  Downloading timm-0.6.5-py3-none-any.whl (512 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m512.8/512.8 kB\u001b[0m \u001b[31m8.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: torch>=1.4 in /usr/local/lib/python3.10/dist-packages (from timm==0.6.5) (2.1.0+cu118)\n",
            "Requirement already satisfied: torchvision in /usr/local/lib/python3.10/dist-packages (from timm==0.6.5) (0.16.0+cu118)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.4->timm==0.6.5) (3.13.1)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.4->timm==0.6.5) (4.5.0)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.4->timm==0.6.5) (1.12)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.4->timm==0.6.5) (3.2.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.4->timm==0.6.5) (3.1.2)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch>=1.4->timm==0.6.5) (2023.6.0)\n",
            "Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.4->timm==0.6.5) (2.1.0)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from torchvision->timm==0.6.5) (1.23.5)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from torchvision->timm==0.6.5) (2.27.1)\n",
            "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.10/dist-packages (from torchvision->timm==0.6.5) (9.4.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.4->timm==0.6.5) (2.1.3)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision->timm==0.6.5) (1.26.18)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision->timm==0.6.5) (2023.7.22)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision->timm==0.6.5) (2.0.12)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision->timm==0.6.5) (3.4)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.4->timm==0.6.5) (1.3.0)\n",
            "Installing collected packages: timm\n",
            "Successfully installed timm-0.6.5\n"
          ]
        }
      ],
      "source": [
        "%pip install timm==0.6.5"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wkHzYjBecm3E",
        "outputId": "3f81de91-489a-4511-b514-cd6a9b101903"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting torch==2.1.1\n",
            "  Downloading torch-2.1.1-cp310-cp310-manylinux1_x86_64.whl (670.2 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m670.2/670.2 MB\u001b[0m \u001b[31m2.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1) (3.13.1)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1) (4.5.0)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1) (1.12)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1) (3.2.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1) (3.1.2)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1) (2023.6.0)\n",
            "Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch==2.1.1)\n",
            "  Downloading nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m23.7/23.7 MB\u001b[0m \u001b[31m54.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting nvidia-cuda-runtime-cu12==12.1.105 (from torch==2.1.1)\n",
            "  Downloading nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m823.6/823.6 kB\u001b[0m \u001b[31m53.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting nvidia-cuda-cupti-cu12==12.1.105 (from torch==2.1.1)\n",
            "  Downloading nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m14.1/14.1 MB\u001b[0m \u001b[31m67.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting nvidia-cudnn-cu12==8.9.2.26 (from torch==2.1.1)\n",
            "  Downloading nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m731.7/731.7 MB\u001b[0m \u001b[31m2.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting nvidia-cublas-cu12==12.1.3.1 (from torch==2.1.1)\n",
            "  Downloading nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m410.6/410.6 MB\u001b[0m \u001b[31m2.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting nvidia-cufft-cu12==11.0.2.54 (from torch==2.1.1)\n",
            "  Downloading nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m121.6/121.6 MB\u001b[0m \u001b[31m8.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting nvidia-curand-cu12==10.3.2.106 (from torch==2.1.1)\n",
            "  Downloading nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m56.5/56.5 MB\u001b[0m \u001b[31m12.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting nvidia-cusolver-cu12==11.4.5.107 (from torch==2.1.1)\n",
            "  Downloading nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m124.2/124.2 MB\u001b[0m \u001b[31m8.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting nvidia-cusparse-cu12==12.1.0.106 (from torch==2.1.1)\n",
            "  Downloading nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m196.0/196.0 MB\u001b[0m \u001b[31m2.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting nvidia-nccl-cu12==2.18.1 (from torch==2.1.1)\n",
            "  Downloading nvidia_nccl_cu12-2.18.1-py3-none-manylinux1_x86_64.whl (209.8 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m209.8/209.8 MB\u001b[0m \u001b[31m6.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting nvidia-nvtx-cu12==12.1.105 (from torch==2.1.1)\n",
            "  Downloading nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m99.1/99.1 kB\u001b[0m \u001b[31m15.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1) (2.1.0)\n",
            "Collecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch==2.1.1)\n",
            "  Downloading nvidia_nvjitlink_cu12-12.3.101-py3-none-manylinux1_x86_64.whl (20.5 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.5/20.5 MB\u001b[0m \u001b[31m92.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch==2.1.1) (2.1.3)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch==2.1.1) (1.3.0)\n",
            "Installing collected packages: nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, nvidia-cusparse-cu12, nvidia-cudnn-cu12, nvidia-cusolver-cu12, torch\n",
            "  Attempting uninstall: torch\n",
            "    Found existing installation: torch 2.1.0+cu118\n",
            "    Uninstalling torch-2.1.0+cu118:\n",
            "      Successfully uninstalled torch-2.1.0+cu118\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",
            "torchaudio 2.1.0+cu118 requires torch==2.1.0, but you have torch 2.1.1 which is incompatible.\n",
            "torchdata 0.7.0 requires torch==2.1.0, but you have torch 2.1.1 which is incompatible.\n",
            "torchtext 0.16.0 requires torch==2.1.0, but you have torch 2.1.1 which is incompatible.\n",
            "torchvision 0.16.0+cu118 requires torch==2.1.0, but you have torch 2.1.1 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.18.1 nvidia-nvjitlink-cu12-12.3.101 nvidia-nvtx-cu12-12.1.105 torch-2.1.1\n"
          ]
        }
      ],
      "source": [
        "%pip install torch==2.1.1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Q4byhrxfcm98",
        "outputId": "8622c092-e2dd-489e-90de-90c767a85d38"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting transformers==4.14.1\n",
            "  Downloading transformers-4.14.1-py3-none-any.whl (3.4 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.4/3.4 MB\u001b[0m \u001b[31m12.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers==4.14.1) (3.13.1)\n",
            "Requirement already satisfied: huggingface-hub<1.0,>=0.1.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.14.1) (0.19.4)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.14.1) (1.23.5)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.14.1) (23.2)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.14.1) (6.0.1)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.14.1) (2023.6.3)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers==4.14.1) (2.27.1)\n",
            "Collecting sacremoses (from transformers==4.14.1)\n",
            "  Downloading sacremoses-0.1.1-py3-none-any.whl (897 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m897.5/897.5 kB\u001b[0m \u001b[31m40.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting tokenizers<0.11,>=0.10.1 (from transformers==4.14.1)\n",
            "  Downloading tokenizers-0.10.3.tar.gz (212 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m212.7/212.7 kB\u001b[0m \u001b[31m21.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers==4.14.1) (4.66.1)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.1.0->transformers==4.14.1) (2023.6.0)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.1.0->transformers==4.14.1) (4.5.0)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.14.1) (1.26.18)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.14.1) (2023.7.22)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.14.1) (2.0.12)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.14.1) (3.4)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from sacremoses->transformers==4.14.1) (8.1.7)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from sacremoses->transformers==4.14.1) (1.3.2)\n",
            "Building wheels for collected packages: tokenizers\n",
            "  \u001b[1;31merror\u001b[0m: \u001b[1msubprocess-exited-with-error\u001b[0m\n",
            "  \n",
            "  \u001b[31m×\u001b[0m \u001b[32mBuilding wheel for tokenizers \u001b[0m\u001b[1;32m(\u001b[0m\u001b[32mpyproject.toml\u001b[0m\u001b[1;32m)\u001b[0m did not run successfully.\n",
            "  \u001b[31m│\u001b[0m exit code: \u001b[1;36m1\u001b[0m\n",
            "  \u001b[31m╰─>\u001b[0m See above for output.\n",
            "  \n",
            "  \u001b[1;35mnote\u001b[0m: This error originates from a subprocess, and is likely not a problem with pip.\n",
            "  Building wheel for tokenizers (pyproject.toml) ... \u001b[?25l\u001b[?25herror\n",
            "\u001b[31m  ERROR: Failed building wheel for tokenizers\u001b[0m\u001b[31m\n",
            "\u001b[0mFailed to build tokenizers\n",
            "\u001b[31mERROR: Could not build wheels for tokenizers, which is required to install pyproject.toml-based projects\u001b[0m\u001b[31m\n",
            "\u001b[0m"
          ]
        }
      ],
      "source": [
        "%pip install transformers==4.14.1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hZ8CGhZgcnDk",
        "outputId": "6e7c4550-128c-4bf1-b7ef-57619f160cde"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting torchvision==0.16.1\n",
            "  Downloading torchvision-0.16.1-cp310-cp310-manylinux1_x86_64.whl (6.8 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.8/6.8 MB\u001b[0m \u001b[31m28.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from torchvision==0.16.1) (1.23.5)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from torchvision==0.16.1) (2.27.1)\n",
            "Requirement already satisfied: torch==2.1.1 in /usr/local/lib/python3.10/dist-packages (from torchvision==0.16.1) (2.1.1)\n",
            "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.10/dist-packages (from torchvision==0.16.1) (9.4.0)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (3.13.1)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (4.5.0)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (1.12)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (3.2.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (3.1.2)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (2023.6.0)\n",
            "Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (12.1.105)\n",
            "Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (12.1.105)\n",
            "Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (12.1.105)\n",
            "Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (8.9.2.26)\n",
            "Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (12.1.3.1)\n",
            "Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (11.0.2.54)\n",
            "Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (10.3.2.106)\n",
            "Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (11.4.5.107)\n",
            "Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (12.1.0.106)\n",
            "Requirement already satisfied: nvidia-nccl-cu12==2.18.1 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (2.18.1)\n",
            "Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (12.1.105)\n",
            "Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchvision==0.16.1) (2.1.0)\n",
            "Requirement already satisfied: nvidia-nvjitlink-cu12 in /usr/local/lib/python3.10/dist-packages (from nvidia-cusolver-cu12==11.4.5.107->torch==2.1.1->torchvision==0.16.1) (12.3.101)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision==0.16.1) (1.26.18)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision==0.16.1) (2023.7.22)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision==0.16.1) (2.0.12)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision==0.16.1) (3.4)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch==2.1.1->torchvision==0.16.1) (2.1.3)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch==2.1.1->torchvision==0.16.1) (1.3.0)\n",
            "Installing collected packages: torchvision\n",
            "  Attempting uninstall: torchvision\n",
            "    Found existing installation: torchvision 0.16.0+cu118\n",
            "    Uninstalling torchvision-0.16.0+cu118:\n",
            "      Successfully uninstalled torchvision-0.16.0+cu118\n",
            "Successfully installed torchvision-0.16.1\n"
          ]
        }
      ],
      "source": [
        "%pip install torchvision==0.16.1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aRq5QAUBcnHG",
        "outputId": "e272c177-ce04-4ba3-e685-9d38589f4e71"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting tqdm==4.63.0\n",
            "  Downloading tqdm-4.63.0-py2.py3-none-any.whl (76 kB)\n",
            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/76.6 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.6/76.6 kB\u001b[0m \u001b[31m2.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: tqdm\n",
            "  Attempting uninstall: tqdm\n",
            "    Found existing installation: tqdm 4.66.1\n",
            "    Uninstalling tqdm-4.66.1:\n",
            "      Successfully uninstalled tqdm-4.66.1\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",
            "torchtext 0.16.0 requires torch==2.1.0, but you have torch 2.1.1 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed tqdm-4.63.0\n"
          ]
        }
      ],
      "source": [
        "%pip install tqdm==4.63.0"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "u-gzxPM5cnKK",
        "outputId": "a109c50e-e873-4d8c-87b9-83e4180b42b6"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting tensorboard==2.10.1\n",
            "  Downloading tensorboard-2.10.1-py3-none-any.whl (5.9 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.9/5.9 MB\u001b[0m \u001b[31m24.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.10.1) (1.4.0)\n",
            "Requirement already satisfied: grpcio>=1.24.3 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.10.1) (1.59.2)\n",
            "Requirement already satisfied: google-auth<3,>=1.6.3 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.10.1) (2.17.3)\n",
            "Collecting google-auth-oauthlib<0.5,>=0.4.1 (from tensorboard==2.10.1)\n",
            "  Downloading google_auth_oauthlib-0.4.6-py2.py3-none-any.whl (18 kB)\n",
            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.10.1) (3.5.1)\n",
            "Requirement already satisfied: numpy>=1.12.0 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.10.1) (1.23.5)\n",
            "Collecting protobuf<3.20,>=3.9.2 (from tensorboard==2.10.1)\n",
            "  Downloading protobuf-3.19.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.1/1.1 MB\u001b[0m \u001b[31m44.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: requests<3,>=2.21.0 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.10.1) (2.27.1)\n",
            "Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.10.1) (67.7.2)\n",
            "Collecting tensorboard-data-server<0.7.0,>=0.6.0 (from tensorboard==2.10.1)\n",
            "  Downloading tensorboard_data_server-0.6.1-py3-none-manylinux2010_x86_64.whl (4.9 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.9/4.9 MB\u001b[0m \u001b[31m74.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting tensorboard-plugin-wit>=1.6.0 (from tensorboard==2.10.1)\n",
            "  Downloading tensorboard_plugin_wit-1.8.1-py3-none-any.whl (781 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m781.3/781.3 kB\u001b[0m \u001b[31m52.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: werkzeug>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.10.1) (3.0.1)\n",
            "Requirement already satisfied: wheel>=0.26 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.10.1) (0.41.3)\n",
            "Requirement already satisfied: cachetools<6.0,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard==2.10.1) (5.3.2)\n",
            "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard==2.10.1) (0.3.0)\n",
            "Requirement already satisfied: six>=1.9.0 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard==2.10.1) (1.16.0)\n",
            "Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard==2.10.1) (4.9)\n",
            "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard==2.10.1) (1.3.1)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.21.0->tensorboard==2.10.1) (1.26.18)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.21.0->tensorboard==2.10.1) (2023.7.22)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.21.0->tensorboard==2.10.1) (2.0.12)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.21.0->tensorboard==2.10.1) (3.4)\n",
            "Requirement already satisfied: MarkupSafe>=2.1.1 in /usr/local/lib/python3.10/dist-packages (from werkzeug>=1.0.1->tensorboard==2.10.1) (2.1.3)\n",
            "Requirement already satisfied: pyasn1<0.6.0,>=0.4.6 in /usr/local/lib/python3.10/dist-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard==2.10.1) (0.5.0)\n",
            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard==2.10.1) (3.2.2)\n",
            "Installing collected packages: tensorboard-plugin-wit, tensorboard-data-server, protobuf, google-auth-oauthlib, tensorboard\n",
            "  Attempting uninstall: tensorboard-data-server\n",
            "    Found existing installation: tensorboard-data-server 0.7.2\n",
            "    Uninstalling tensorboard-data-server-0.7.2:\n",
            "      Successfully uninstalled tensorboard-data-server-0.7.2\n",
            "  Attempting uninstall: protobuf\n",
            "    Found existing installation: protobuf 3.20.3\n",
            "    Uninstalling protobuf-3.20.3:\n",
            "      Successfully uninstalled protobuf-3.20.3\n",
            "  Attempting uninstall: google-auth-oauthlib\n",
            "    Found existing installation: google-auth-oauthlib 1.0.0\n",
            "    Uninstalling google-auth-oauthlib-1.0.0:\n",
            "      Successfully uninstalled google-auth-oauthlib-1.0.0\n",
            "  Attempting uninstall: tensorboard\n",
            "    Found existing installation: tensorboard 2.14.1\n",
            "    Uninstalling tensorboard-2.14.1:\n",
            "      Successfully uninstalled tensorboard-2.14.1\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 2.14.0 requires protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3, but you have protobuf 3.19.6 which is incompatible.\n",
            "tensorflow 2.14.0 requires tensorboard<2.15,>=2.14, but you have tensorboard 2.10.1 which is incompatible.\n",
            "tensorflow-datasets 4.9.3 requires protobuf>=3.20, but you have protobuf 3.19.6 which is incompatible.\n",
            "tensorflow-metadata 1.14.0 requires protobuf<4.21,>=3.20.3, but you have protobuf 3.19.6 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed google-auth-oauthlib-0.4.6 protobuf-3.19.6 tensorboard-2.10.1 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.1\n"
          ]
        },
        {
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "google"
                ]
              }
            }
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "%pip install tensorboard==2.10.1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "79ZCSU3tcnNF",
        "outputId": "dc370187-db41-4f09-d123-a9bbda72bfdf"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting tensorboard-logger==0.1.0\n",
            "  Downloading tensorboard_logger-0.1.0-py2.py3-none-any.whl (17 kB)\n",
            "Requirement already satisfied: protobuf in /usr/local/lib/python3.10/dist-packages (from tensorboard-logger==0.1.0) (3.19.6)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from tensorboard-logger==0.1.0) (1.16.0)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from tensorboard-logger==0.1.0) (1.23.5)\n",
            "Requirement already satisfied: scipy>=0.19.1 in /usr/local/lib/python3.10/dist-packages (from tensorboard-logger==0.1.0) (1.11.3)\n",
            "Requirement already satisfied: pillow>=4.1.1 in /usr/local/lib/python3.10/dist-packages (from tensorboard-logger==0.1.0) (9.4.0)\n",
            "Installing collected packages: tensorboard-logger\n",
            "Successfully installed tensorboard-logger-0.1.0\n"
          ]
        }
      ],
      "source": [
        "%pip install tensorboard-logger==0.1.0"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SRIhwjNRcnQW",
        "outputId": "fa2fb27f-2478-4c4e-fa8c-5e84146d9a33"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: tensorboard-data-server==0.6.1 in /usr/local/lib/python3.10/dist-packages (0.6.1)\n"
          ]
        }
      ],
      "source": [
        "%pip install tensorboard-data-server==0.6.1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ab32lCU1cnTV",
        "outputId": "06f0f92d-292b-471e-f395-48b229598e61"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: tensorboard-plugin-wit==1.8.1 in /usr/local/lib/python3.10/dist-packages (1.8.1)\n"
          ]
        }
      ],
      "source": [
        "%pip install tensorboard-plugin-wit==1.8.1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 671
        },
        "id": "Hj94gwUoc3Gq",
        "outputId": "179c27ca-771f-415d-f260-8e0b7b61fb43"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting scipy==1.7.3\n",
            "  Downloading scipy-1.7.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.9 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m39.9/39.9 MB\u001b[0m \u001b[31m18.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting numpy<1.23.0,>=1.16.5 (from scipy==1.7.3)\n",
            "  Downloading numpy-1.22.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.8 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m16.8/16.8 MB\u001b[0m \u001b[31m87.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: numpy, scipy\n",
            "  Attempting uninstall: numpy\n",
            "    Found existing installation: numpy 1.23.5\n",
            "    Uninstalling numpy-1.23.5:\n",
            "      Successfully uninstalled numpy-1.23.5\n",
            "  Attempting uninstall: scipy\n",
            "    Found existing installation: scipy 1.11.3\n",
            "    Uninstalling scipy-1.11.3:\n",
            "      Successfully uninstalled scipy-1.11.3\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",
            "lida 0.0.10 requires fastapi, which is not installed.\n",
            "lida 0.0.10 requires kaleido, which is not installed.\n",
            "lida 0.0.10 requires python-multipart, which is not installed.\n",
            "lida 0.0.10 requires uvicorn, which is not installed.\n",
            "arviz 0.15.1 requires scipy>=1.8.0, but you have scipy 1.7.3 which is incompatible.\n",
            "jax 0.4.20 requires scipy>=1.9, but you have scipy 1.7.3 which is incompatible.\n",
            "jaxlib 0.4.20+cuda11.cudnn86 requires scipy>=1.9, but you have scipy 1.7.3 which is incompatible.\n",
            "plotnine 0.12.4 requires numpy>=1.23.0, but you have numpy 1.22.4 which is incompatible.\n",
            "tensorflow 2.14.0 requires numpy>=1.23.5, but you have numpy 1.22.4 which is incompatible.\n",
            "tensorflow 2.14.0 requires protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3, but you have protobuf 3.19.6 which is incompatible.\n",
            "tensorflow 2.14.0 requires tensorboard<2.15,>=2.14, but you have tensorboard 2.10.1 which is incompatible.\n",
            "tensorflow-datasets 4.9.3 requires protobuf>=3.20, but you have protobuf 3.19.6 which is incompatible.\n",
            "torchtext 0.16.0 requires torch==2.1.0, but you have torch 2.1.1 which is incompatible.\n",
            "yfinance 0.2.31 requires requests>=2.31, but you have requests 2.27.1 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed numpy-1.22.4 scipy-1.7.3\n"
          ]
        },
        {
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "numpy"
                ]
              }
            }
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "%pip install scipy==1.7.3"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5SQHazNSc3OA",
        "outputId": "1baf3489-7207-48b0-b775-97ec609425a3"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting pandas==1.4.1\n",
            "  Downloading pandas-1.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.7 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.7/11.7 MB\u001b[0m \u001b[31m45.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas==1.4.1) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas==1.4.1) (2023.3.post1)\n",
            "Requirement already satisfied: numpy>=1.21.0 in /usr/local/lib/python3.10/dist-packages (from pandas==1.4.1) (1.22.4)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas==1.4.1) (1.16.0)\n",
            "Installing collected packages: pandas\n",
            "  Attempting uninstall: pandas\n",
            "    Found existing installation: pandas 1.5.3\n",
            "    Uninstalling pandas-1.5.3:\n",
            "      Successfully uninstalled pandas-1.5.3\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",
            "lida 0.0.10 requires fastapi, which is not installed.\n",
            "lida 0.0.10 requires kaleido, which is not installed.\n",
            "lida 0.0.10 requires python-multipart, which is not installed.\n",
            "lida 0.0.10 requires uvicorn, which is not installed.\n",
            "arviz 0.15.1 requires scipy>=1.8.0, but you have scipy 1.7.3 which is incompatible.\n",
            "bigframes 0.13.0 requires pandas>=1.5.0, but you have pandas 1.4.1 which is incompatible.\n",
            "bigframes 0.13.0 requires scikit-learn>=1.2.2, but you have scikit-learn 1.0.2 which is incompatible.\n",
            "google-colab 1.0.0 requires pandas==1.5.3, but you have pandas 1.4.1 which is incompatible.\n",
            "google-colab 1.0.0 requires requests==2.31.0, but you have requests 2.27.1 which is incompatible.\n",
            "plotnine 0.12.4 requires numpy>=1.23.0, but you have numpy 1.22.4 which is incompatible.\n",
            "plotnine 0.12.4 requires pandas>=1.5.0, but you have pandas 1.4.1 which is incompatible.\n",
            "yfinance 0.2.31 requires requests>=2.31, but you have requests 2.27.1 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed pandas-1.4.1\n"
          ]
        }
      ],
      "source": [
        "%pip install pandas==1.4.1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 341
        },
        "id": "f0HMrpmtdKc3",
        "outputId": "61fa40e5-a97c-43d6-f0d1-1e0d2ff45f91"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting pillow==9.0.1\n",
            "  Downloading Pillow-9.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m23.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: pillow\n",
            "  Attempting uninstall: pillow\n",
            "    Found existing installation: Pillow 9.4.0\n",
            "    Uninstalling Pillow-9.4.0:\n",
            "      Successfully uninstalled Pillow-9.4.0\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",
            "plotnine 0.12.4 requires numpy>=1.23.0, but you have numpy 1.22.4 which is incompatible.\n",
            "plotnine 0.12.4 requires pandas>=1.5.0, but you have pandas 1.4.1 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed pillow-9.0.1\n"
          ]
        },
        {
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "PIL"
                ]
              }
            }
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "%pip install pillow==9.0.1"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-V4d6ecNdeYM"
      },
      "source": [
        "# Preprocessing"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MIPYGqkqZpqq",
        "outputId": "2f7feb33-d160-494b-c31e-36c6de389874"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/content/drive/MyDrive/NLP_project\n"
          ]
        }
      ],
      "source": [
        "# change the path to the project folder\n",
        "%cd /content/drive/MyDrive/NLP_project\n",
        "\n",
        "%cd /source"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "b-XIkllY7WTO"
      },
      "outputs": [],
      "source": [
        "!python3 clean_dataset.py"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "958_xWWEEoqQ"
      },
      "outputs": [],
      "source": [
        "!python3 convert_image_to_tensor_save.py"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "47Zl4Kneldoq"
      },
      "source": [
        "# Run\n",
        "\n",
        "Get the last checkpoint and set the config, so that the algorithm will continue training from it."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hzJqdR4FKEmR",
        "outputId": "19d73c58-4e2e-4eaa-ac14-eee4c1ac8131"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "exp/11-26-08_19_49/checkpoints/model_best.pth.tar\n"
          ]
        }
      ],
      "source": [
        "import os\n",
        "import json\n",
        "\n",
        "run_folders = [x for x in os.listdir(\"exp\")]\n",
        "\n",
        "checkpoint = None\n",
        "\n",
        "for i in range(len(run_folders)):\n",
        "  curr_run_folder = run_folders[len(run_folders) - 1 - i]\n",
        "  if 'model_best.pth.tar' in os.listdir(\"exp/\" + curr_run_folder + \"/checkpoints\"):\n",
        "    checkpoint = \"exp/\" + curr_run_folder + \"/checkpoints/model_best.pth.tar\"\n",
        "    break\n",
        "\n",
        "print(checkpoint)\n",
        "\n",
        "with open('config/DynRT.json', 'r+') as f:\n",
        "    data = json.load(f)\n",
        "    if checkpoint is None:\n",
        "      data['info']['train_on_checkpoint'] = \"none\"\n",
        "    else:\n",
        "      data['info']['train_on_checkpoint'] = checkpoint\n",
        "    f.seek(0)\n",
        "    json.dump(data, f, indent=4)\n",
        "    f.truncate()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "s8GyfAu2iM0d",
        "outputId": "aef6beb6-bdfc-42cf-9e2e-3e3c749dccc5"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "2023-11-26 22:46:49,710 - __main__ - INFO - Completed batch 44\n",
            "2023-11-26 22:46:49,864 - __main__ - INFO - Completed batch 45\n",
            "2023-11-26 22:46:49,994 - __main__ - INFO - Completed batch 46\n",
            "2023-11-26 22:46:50,137 - __main__ - INFO - Completed batch 47\n",
            "2023-11-26 22:46:50,268 - __main__ - INFO - Completed batch 48\n",
            "2023-11-26 22:46:50,752 - __main__ - INFO - Completed batch 49\n",
            "2023-11-26 22:46:56,351 - __main__ - INFO - Completed batch 50\n",
            "2023-11-26 22:46:56,516 - __main__ - INFO - Completed batch 51\n",
            "2023-11-26 22:46:57,375 - __main__ - INFO - Completed batch 52\n",
            "2023-11-26 22:46:57,537 - __main__ - INFO - Completed batch 53\n",
            "2023-11-26 22:46:57,709 - __main__ - INFO - Completed batch 54\n",
            "2023-11-26 22:46:57,863 - __main__ - INFO - Completed batch 55\n",
            "2023-11-26 22:46:58,007 - __main__ - INFO - Completed batch 56\n",
            "2023-11-26 22:46:58,123 - __main__ - INFO - Completed batch 57\n",
            "2023-11-26 22:46:58,238 - __main__ - INFO - Completed batch 58\n",
            "2023-11-26 22:46:58,496 - __main__ - INFO - Completed batch 59\n",
            "2023-11-26 22:47:02,474 - __main__ - INFO - Completed batch 60\n",
            "2023-11-26 22:47:02,590 - __main__ - INFO - Completed batch 61\n",
            "2023-11-26 22:47:05,727 - __main__ - INFO - Completed batch 62\n",
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            "2023-11-26 22:56:05,700 - __main__ - INFO - Completed batch 599\n",
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            "2023-11-26 22:56:15,347 - __main__ - INFO - Completed batch 603\n",
            "2023-11-26 22:56:15,467 - __main__ - INFO - Completed batch 604\n",
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            "2023-11-26 22:56:15,737 - __main__ - INFO - Completed batch 606\n",
            "2023-11-26 22:56:15,861 - __main__ - INFO - Completed batch 607\n",
            "2023-11-26 22:56:15,989 - __main__ - INFO - Completed batch 608\n",
            "2023-11-26 22:56:16,129 - __main__ - INFO - Completed batch 609\n",
            "2023-11-26 22:56:24,202 - __main__ - INFO - Completed batch 610\n",
            "2023-11-26 22:56:24,750 - __main__ - INFO - [[8583 2588]\n",
            " [2684 5697]]\n",
            "2023-11-26 22:56:24,751 - __main__ - INFO - train : F1: 0.7244, Precision: 0.7247, Recall : 0.7240, Accuracy: 0.7304, Loss: 0.5731.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-26 22:57:51,469 - __main__ - INFO - [[1099  351]\n",
            " [ 322  615]]\n",
            "2023-11-26 22:57:51,470 - __main__ - INFO - valid: F1: 0.6463, Precision: 0.6366, Recall : 0.6564, Accuracy: 0.7181, Loss: 0.5793.\n",
            "2023-11-26 22:57:51,470 - __main__ - INFO - valid-macro: F1: 0.7060, Precision: 0.7050, Recall : 0.7071.\n",
            "2023-11-26 22:57:51,471 - __main__ - INFO - save best model for now, epoch:8\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-26 22:59:45,253 - __main__ - INFO - [[1098  350]\n",
            " [ 298  627]]\n",
            "2023-11-26 22:59:45,275 - __main__ - INFO - test: F1: 0.6593, Precision: 0.6418, Recall : 0.6778, Accuracy: 0.7269, Loss: 0.5632.\n",
            "2023-11-26 22:59:45,276 - __main__ - INFO - test-macro: F1: 0.7157, Precision: 0.7141, Recall : 0.7181.\n",
            "2023-11-26 22:59:45,280 - __main__ - INFO - Epoch 9/15\n",
            "2023-11-26 22:59:45,282 - __main__ - INFO - Total batch number: 611\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-26 22:59:54,583 - __main__ - INFO - Completed batch 0\n",
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            "2023-11-26 23:09:55,574 - __main__ - INFO - Completed batch 607\n",
            "2023-11-26 23:09:55,688 - __main__ - INFO - Completed batch 608\n",
            "2023-11-26 23:09:55,800 - __main__ - INFO - Completed batch 609\n",
            "2023-11-26 23:10:00,393 - __main__ - INFO - Completed batch 610\n",
            "2023-11-26 23:10:01,273 - __main__ - INFO - [[8726 2442]\n",
            " [2568 5816]]\n",
            "2023-11-26 23:10:01,274 - __main__ - INFO - train : F1: 0.7380, Precision: 0.7385, Recall : 0.7375, Accuracy: 0.7438, Loss: 0.5616.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-26 23:11:28,876 - __main__ - INFO - [[1097  353]\n",
            " [ 268  669]]\n",
            "2023-11-26 23:11:28,877 - __main__ - INFO - valid: F1: 0.6830, Precision: 0.6546, Recall : 0.7140, Accuracy: 0.7398, Loss: 0.5553.\n",
            "2023-11-26 23:11:28,877 - __main__ - INFO - valid-macro: F1: 0.7312, Precision: 0.7291, Recall : 0.7353.\n",
            "2023-11-26 23:11:28,878 - __main__ - INFO - save best model for now, epoch:9\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-26 23:13:17,438 - __main__ - INFO - [[1095  353]\n",
            " [ 229  696]]\n",
            "2023-11-26 23:13:17,461 - __main__ - INFO - test: F1: 0.7052, Precision: 0.6635, Recall : 0.7524, Accuracy: 0.7547, Loss: 0.5419.\n",
            "2023-11-26 23:13:17,461 - __main__ - INFO - test-macro: F1: 0.7476, Precision: 0.7453, Recall : 0.7543.\n",
            "2023-11-26 23:13:17,471 - __main__ - INFO - Epoch 10/15\n",
            "2023-11-26 23:13:17,474 - __main__ - INFO - Total batch number: 611\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-26 23:13:24,740 - __main__ - INFO - Completed batch 0\n",
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            "2023-11-26 23:23:26,877 - __main__ - INFO - Completed batch 605\n",
            "2023-11-26 23:23:26,996 - __main__ - INFO - Completed batch 606\n",
            "2023-11-26 23:23:27,127 - __main__ - INFO - Completed batch 607\n",
            "2023-11-26 23:23:27,244 - __main__ - INFO - Completed batch 608\n",
            "2023-11-26 23:23:27,372 - __main__ - INFO - Completed batch 609\n",
            "2023-11-26 23:23:27,494 - __main__ - INFO - Completed batch 610\n",
            "2023-11-26 23:23:28,369 - __main__ - INFO - [[9346 1822]\n",
            " [1968 6416]]\n",
            "2023-11-26 23:23:28,369 - __main__ - INFO - train : F1: 0.8017, Precision: 0.8024, Recall : 0.8011, Accuracy: 0.8062, Loss: 0.5147.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-26 23:24:59,818 - __main__ - INFO - [[1298  152]\n",
            " [  49  888]]\n",
            "2023-11-26 23:24:59,818 - __main__ - INFO - valid: F1: 0.8983, Precision: 0.8538, Recall : 0.9477, Accuracy: 0.9158, Loss: 0.4177.\n",
            "2023-11-26 23:24:59,819 - __main__ - INFO - valid-macro: F1: 0.9132, Precision: 0.9087, Recall : 0.9214.\n",
            "2023-11-26 23:24:59,820 - __main__ - INFO - save best model for now, epoch:10\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-26 23:26:46,937 - __main__ - INFO - [[1302  146]\n",
            " [  65  860]]\n",
            "2023-11-26 23:26:46,957 - __main__ - INFO - test: F1: 0.8907, Precision: 0.8549, Recall : 0.9297, Accuracy: 0.9111, Loss: 0.4232.\n",
            "2023-11-26 23:26:46,958 - __main__ - INFO - test-macro: F1: 0.9079, Precision: 0.9037, Recall : 0.9145.\n",
            "2023-11-26 23:26:46,969 - __main__ - INFO - Epoch 11/15\n",
            "2023-11-26 23:26:46,975 - __main__ - INFO - Total batch number: 611\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-26 23:26:54,674 - __main__ - INFO - Completed batch 0\n",
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            "2023-11-26 23:36:48,687 - __main__ - INFO - Completed batch 608\n",
            "2023-11-26 23:36:48,812 - __main__ - INFO - Completed batch 609\n",
            "2023-11-26 23:36:48,928 - __main__ - INFO - Completed batch 610\n",
            "2023-11-26 23:36:49,886 - __main__ - INFO - [[10910   257]\n",
            " [  442  7943]]\n",
            "2023-11-26 23:36:49,887 - __main__ - INFO - train : F1: 0.9634, Precision: 0.9649, Recall : 0.9621, Accuracy: 0.9642, Loss: 0.3819.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-26 23:38:17,413 - __main__ - INFO - [[1373   77]\n",
            " [  41  896]]\n",
            "2023-11-26 23:38:17,414 - __main__ - INFO - valid: F1: 0.9382, Precision: 0.9209, Recall : 0.9562, Accuracy: 0.9506, Loss: 0.3658.\n",
            "2023-11-26 23:38:17,414 - __main__ - INFO - valid-macro: F1: 0.9485, Precision: 0.9459, Recall : 0.9516.\n",
            "2023-11-26 23:38:17,416 - __main__ - INFO - save best model for now, epoch:11\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-26 23:39:59,550 - __main__ - INFO - [[1352   96]\n",
            " [  59  866]]\n",
            "2023-11-26 23:39:59,572 - __main__ - INFO - test: F1: 0.9179, Precision: 0.9002, Recall : 0.9362, Accuracy: 0.9347, Loss: 0.3791.\n",
            "2023-11-26 23:39:59,573 - __main__ - INFO - test-macro: F1: 0.9318, Precision: 0.9292, Recall : 0.9350.\n",
            "2023-11-26 23:39:59,577 - __main__ - INFO - Epoch 12/15\n",
            "2023-11-26 23:39:59,579 - __main__ - INFO - Total batch number: 611\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-26 23:40:05,024 - __main__ - INFO - Completed batch 0\n",
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            "2023-11-26 23:50:00,275 - __main__ - INFO - [[11057   112]\n",
            " [  238  8145]]\n",
            "2023-11-26 23:50:00,276 - __main__ - INFO - train : F1: 0.9817, Precision: 0.9827, Recall : 0.9808, Accuracy: 0.9821, Loss: 0.3461.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-26 23:51:32,201 - __main__ - INFO - [[1375   75]\n",
            " [  41  896]]\n",
            "2023-11-26 23:51:32,202 - __main__ - INFO - valid: F1: 0.9392, Precision: 0.9228, Recall : 0.9562, Accuracy: 0.9514, Loss: 0.3629.\n",
            "2023-11-26 23:51:32,202 - __main__ - INFO - valid-macro: F1: 0.9494, Precision: 0.9469, Recall : 0.9523.\n",
            "2023-11-26 23:51:32,204 - __main__ - INFO - save best model for now, epoch:12\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-26 23:53:16,846 - __main__ - INFO - [[1354   94]\n",
            " [  59  866]]\n",
            "2023-11-26 23:53:16,872 - __main__ - INFO - test: F1: 0.9188, Precision: 0.9021, Recall : 0.9362, Accuracy: 0.9355, Loss: 0.3764.\n",
            "2023-11-26 23:53:16,873 - __main__ - INFO - test-macro: F1: 0.9327, Precision: 0.9302, Recall : 0.9356.\n",
            "2023-11-26 23:53:16,880 - __main__ - INFO - Epoch 13/15\n",
            "2023-11-26 23:53:16,882 - __main__ - INFO - Total batch number: 611\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-26 23:53:23,465 - __main__ - INFO - Completed batch 0\n",
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            "2023-11-27 00:03:07,590 - __main__ - INFO - Completed batch 599\n",
            "2023-11-27 00:03:07,708 - __main__ - INFO - Completed batch 600\n",
            "2023-11-27 00:03:07,836 - __main__ - INFO - Completed batch 601\n",
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            "2023-11-27 00:03:17,857 - __main__ - INFO - Completed batch 603\n",
            "2023-11-27 00:03:17,980 - __main__ - INFO - Completed batch 604\n",
            "2023-11-27 00:03:18,103 - __main__ - INFO - Completed batch 605\n",
            "2023-11-27 00:03:18,226 - __main__ - INFO - Completed batch 606\n",
            "2023-11-27 00:03:18,359 - __main__ - INFO - Completed batch 607\n",
            "2023-11-27 00:03:18,472 - __main__ - INFO - Completed batch 608\n",
            "2023-11-27 00:03:18,587 - __main__ - INFO - Completed batch 609\n",
            "2023-11-27 00:03:18,701 - __main__ - INFO - Completed batch 610\n",
            "2023-11-27 00:03:19,258 - __main__ - INFO - [[11062   107]\n",
            " [  228  8155]]\n",
            "2023-11-27 00:03:19,259 - __main__ - INFO - train : F1: 0.9825, Precision: 0.9834, Recall : 0.9816, Accuracy: 0.9829, Loss: 0.3410.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-27 00:04:46,873 - __main__ - INFO - [[1376   74]\n",
            " [  41  896]]\n",
            "2023-11-27 00:04:46,874 - __main__ - INFO - valid: F1: 0.9397, Precision: 0.9237, Recall : 0.9562, Accuracy: 0.9518, Loss: 0.3618.\n",
            "2023-11-27 00:04:46,874 - __main__ - INFO - valid-macro: F1: 0.9498, Precision: 0.9474, Recall : 0.9526.\n",
            "2023-11-27 00:04:46,876 - __main__ - INFO - save best model for now, epoch:13\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-27 00:06:35,680 - __main__ - INFO - [[1355   93]\n",
            " [  59  866]]\n",
            "2023-11-27 00:06:35,700 - __main__ - INFO - test: F1: 0.9193, Precision: 0.9030, Recall : 0.9362, Accuracy: 0.9359, Loss: 0.3753.\n",
            "2023-11-27 00:06:35,701 - __main__ - INFO - test-macro: F1: 0.9331, Precision: 0.9306, Recall : 0.9360.\n",
            "2023-11-27 00:06:35,709 - __main__ - INFO - Epoch 14/15\n",
            "2023-11-27 00:06:35,712 - __main__ - INFO - Total batch number: 611\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-27 00:06:42,041 - __main__ - INFO - Completed batch 0\n",
            "2023-11-27 00:06:42,920 - __main__ - INFO - Completed batch 1\n",
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            "2023-11-27 00:16:27,135 - __main__ - INFO - Completed batch 599\n",
            "2023-11-27 00:16:27,248 - __main__ - INFO - Completed batch 600\n",
            "2023-11-27 00:16:27,767 - __main__ - INFO - Completed batch 601\n",
            "2023-11-27 00:16:27,885 - __main__ - INFO - Completed batch 602\n",
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            "2023-11-27 00:16:37,271 - __main__ - INFO - Completed batch 604\n",
            "2023-11-27 00:16:37,430 - __main__ - INFO - Completed batch 605\n",
            "2023-11-27 00:16:37,552 - __main__ - INFO - Completed batch 606\n",
            "2023-11-27 00:16:37,673 - __main__ - INFO - Completed batch 607\n",
            "2023-11-27 00:16:37,793 - __main__ - INFO - Completed batch 608\n",
            "2023-11-27 00:16:37,916 - __main__ - INFO - Completed batch 609\n",
            "2023-11-27 00:16:38,039 - __main__ - INFO - Completed batch 610\n",
            "2023-11-27 00:16:38,872 - __main__ - INFO - [[11061   108]\n",
            " [  228  8155]]\n",
            "2023-11-27 00:16:38,873 - __main__ - INFO - train : F1: 0.9824, Precision: 0.9834, Recall : 0.9816, Accuracy: 0.9828, Loss: 0.3390.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-27 00:18:07,348 - __main__ - INFO - [[1376   74]\n",
            " [  41  896]]\n",
            "2023-11-27 00:18:07,349 - __main__ - INFO - valid: F1: 0.9397, Precision: 0.9237, Recall : 0.9562, Accuracy: 0.9518, Loss: 0.3617.\n",
            "2023-11-27 00:18:07,350 - __main__ - INFO - valid-macro: F1: 0.9498, Precision: 0.9474, Recall : 0.9526.\n",
            "2023-11-27 00:18:07,351 - __main__ - INFO - save best model for now, epoch:14\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-27 00:19:54,241 - __main__ - INFO - [[1355   93]\n",
            " [  59  866]]\n",
            "2023-11-27 00:19:54,269 - __main__ - INFO - test: F1: 0.9193, Precision: 0.9030, Recall : 0.9362, Accuracy: 0.9359, Loss: 0.3751.\n",
            "2023-11-27 00:19:54,270 - __main__ - INFO - test-macro: F1: 0.9331, Precision: 0.9306, Recall : 0.9360.\n",
            "2023-11-27 00:19:54,277 - __main__ - INFO - Epoch 15/15\n",
            "2023-11-27 00:19:54,280 - __main__ - INFO - Total batch number: 611\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-27 00:20:01,790 - __main__ - INFO - Completed batch 0\n",
            "2023-11-27 00:20:01,967 - __main__ - INFO - Completed batch 1\n",
            "2023-11-27 00:20:02,302 - __main__ - INFO - Completed batch 2\n",
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            "2023-11-27 00:29:45,462 - __main__ - INFO - Completed batch 601\n",
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            "2023-11-27 00:29:52,813 - __main__ - INFO - Completed batch 603\n",
            "2023-11-27 00:29:52,926 - __main__ - INFO - Completed batch 604\n",
            "2023-11-27 00:29:53,038 - __main__ - INFO - Completed batch 605\n",
            "2023-11-27 00:29:53,153 - __main__ - INFO - Completed batch 606\n",
            "2023-11-27 00:29:53,266 - __main__ - INFO - Completed batch 607\n",
            "2023-11-27 00:29:53,379 - __main__ - INFO - Completed batch 608\n",
            "2023-11-27 00:29:53,492 - __main__ - INFO - Completed batch 609\n",
            "2023-11-27 00:29:56,111 - __main__ - INFO - Completed batch 610\n",
            "2023-11-27 00:29:56,654 - __main__ - INFO - [[11059   110]\n",
            " [  222  8161]]\n",
            "2023-11-27 00:29:56,655 - __main__ - INFO - train : F1: 0.9826, Precision: 0.9835, Recall : 0.9818, Accuracy: 0.9830, Loss: 0.3377.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-27 00:31:24,512 - __main__ - INFO - [[1376   74]\n",
            " [  41  896]]\n",
            "2023-11-27 00:31:24,513 - __main__ - INFO - valid: F1: 0.9397, Precision: 0.9237, Recall : 0.9562, Accuracy: 0.9518, Loss: 0.3613.\n",
            "2023-11-27 00:31:24,513 - __main__ - INFO - valid-macro: F1: 0.9498, Precision: 0.9474, Recall : 0.9526.\n",
            "2023-11-27 00:31:24,515 - __main__ - INFO - save best model for now, epoch:15\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  warnings.warn(_create_warning_msg(\n",
            "2023-11-27 00:33:11,114 - __main__ - INFO - [[1355   93]\n",
            " [  59  866]]\n",
            "2023-11-27 00:33:11,135 - __main__ - INFO - test: F1: 0.9193, Precision: 0.9030, Recall : 0.9362, Accuracy: 0.9359, Loss: 0.3748.\n",
            "2023-11-27 00:33:11,136 - __main__ - INFO - test-macro: F1: 0.9331, Precision: 0.9306, Recall : 0.9360.\n"
          ]
        }
      ],
      "source": [
        "! CUDA_VISIBLE_DEVICES=0 python train.py config/DynRT.json"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "collapsed_sections": [
        "q0ajKkfTdUXH",
        "-V4d6ecNdeYM"
      ],
      "gpuType": "A100",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}