DriveLLaVA.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iJlgi0acTlHr"
      },
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BNhHcf72Tm0i",
        "outputId": "7baf0146-d550-42df-bb8d-13091d7048b6"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[Errno 2] No such file or directory: '/root/Datasets/'\n",
            "/content\n",
            "Cloning into '/root/Datasets/commavq'...\n",
            "remote: Enumerating objects: 146, done.\u001b[K\n",
            "remote: Counting objects: 100% (142/142), done.\u001b[K\n",
            "remote: Compressing objects: 100% (142/142), done.\u001b[K\n",
            "remote: Total 146 (delta 10), reused 0 (delta 0), pack-reused 4\u001b[K\n",
            "Receiving objects: 100% (146/146), 690.14 KiB | 5.15 MiB/s, done.\n",
            "Resolving deltas: 100% (10/10), done.\n"
          ]
        }
      ],
      "source": [
        "# Dataset Clone\n",
        "\n",
        "%cd ~/Datasets/\n",
        "!GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/AdityaNG/commavq-trajectory ~/Datasets/commavq"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5CanGjRyTvHw",
        "outputId": "40d59a57-a5a5-4bb7-e7fc-c1c4c1c12c4d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
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            "\n",
            "84 archives were successfully processed.\n"
          ]
        }
      ],
      "source": [
        "# Dataset Download and Unzip (9 mins)\n",
        "\n",
        "%cd ~/Datasets/commavq\n",
        "!git lfs pull\n",
        "!unzip -n \"*.zip\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XqpWROluZrLG",
        "outputId": "5ac4e597-c751-40e4-da51-4b2b81e2fc71"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "                \"from\": \"human\",\n",
            "                \"value\": \"<image>\\nYou are DriveLLaVA, a self-driving car. You will select the appropriate trrajectory token given the above image as context.\\nYou may select one from the following templates:  ,!,\\\",#,$,%,&,',(,),*,+,,,-,.,/,0,1,2,3,4,5,6,7,8,9,:,;,<,=,>,?,@,A,B,C,D,E,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,[,],^,_,`,a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,{,|,},~,¡,¢,£,¤,¥,¦,§,¨,©,ª,«,¬,®,¯,°,±,²,³,´,µ,¶,·,¸,¹,º,»,¼,½,¾,¿,À,Á,Â,Ã,Ä,Å,Æ,Ç,È,É,Ê,Ë,Ì,Í,Î,Ï,Ð,Ñ,Ò,Ó,Ô,Õ,Ö,×,Ø,Ù,Ú,Û,Ü,Ý,Þ,ß,à,á,â,ã,ä,å,æ,ç,è,é,ê,ë,ì,í,î,ï,ð,ñ,ò,ó,ô,õ,ö,÷,ø,ù,ú,û,ü,ý,þ,ÿ,Ā,ā,Ă,ă,Ą,ą,Ć,ć,Ĉ,ĉ,Ċ,ċ,Č,č,Ď,ď,Đ,đ,Ē,ē,Ĕ,ĕ,Ė,ė,Ę,ę,Ě,ě,Ĝ,ĝ,Ğ,ğ,Ġ,ġ,Ģ,ģ,Ĥ,ĥ,Ħ,ħ,Ĩ,ĩ,Ī,ī,Ĭ,ĭ,Į,į,İ,ı,Ĳ,ĳ,Ĵ,ĵ,Ķ,ķ,ĸ,Ĺ,ĺ,Ļ,ļ,Ľ,ľ,Ŀ,ŀ,Ł,ł,Ń\"\n",
            "            },\n",
            "            {\n",
            "                \"from\": \"gpt\",\n",
            "                \"value\": \"'\"\n",
            "            }\n",
            "        ]\n",
            "    }\n",
            "]"
          ]
        }
      ],
      "source": [
        "!tail ~/Datasets/commavq/val.json"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Y1AHjgfTTxej",
        "outputId": "842d4727-f628-4421-fe5a-9fa0e404f091"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/root\n",
            "Cloning into 'DriveLLaVA'...\n",
            "remote: Enumerating objects: 619, done.\u001b[K\n",
            "remote: Counting objects: 100% (619/619), done.\u001b[K\n",
            "remote: Compressing objects: 100% (450/450), done.\u001b[K\n",
            "remote: Total 619 (delta 316), reused 433 (delta 152), pack-reused 0\u001b[K\n",
            "Receiving objects: 100% (619/619), 17.39 MiB | 21.67 MiB/s, done.\n",
            "Resolving deltas: 100% (316/316), done.\n",
            "/root/DriveLLaVA\n"
          ]
        }
      ],
      "source": [
        "# Clone DriveLLaVA\n",
        "\n",
        "%cd ~/\n",
        "!git clone https://github.com/AdityaNG/DriveLLaVA\n",
        "\n",
        "%cd ~/DriveLLaVA\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/"
        },
        "id": "88V-ADAVUWXt",
        "outputId": "82bb58f8-2c8b-49c5-d909-9103de94212a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
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            "\u001b[?25hInstalling collected packages: pip\n",
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            "    Uninstalling pip-23.1.2:\n",
            "      Successfully uninstalled pip-23.1.2\n",
            "Successfully installed pip-24.0\n",
            "/root/DriveLLaVA/LLaVA\n",
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            "\u001b[?25hBuilding wheels for collected packages: llava, ffmpy, wavedrom\n",
            "  Building wheel for llava (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for llava: filename=llava-1.2.2.post1-py3-none-any.whl size=102515 sha256=e94b0a8edea9cd3650975f0f4cd0ad4b2b1a3e3a5d4dc8771d3113078612d484\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-eur3qcm1/wheels/fa/f8/45/0c925a18e3b5aa4e2eaa883df9dda01f9b4913bf13ee921063\n",
            "  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for ffmpy: filename=ffmpy-0.3.2-py3-none-any.whl size=5584 sha256=491a6183ed007acbd961865000db4c7c063f42d9693a74c12f84454ff411463b\n",
            "  Stored in directory: /root/.cache/pip/wheels/bd/65/9a/671fc6dcde07d4418df0c592f8df512b26d7a0029c2a23dd81\n",
            "  Building wheel for wavedrom (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for wavedrom: filename=wavedrom-2.0.3.post3-py2.py3-none-any.whl size=30052 sha256=b28d4e343b36da582d15dfdae5e724032d60bbd88bd1c0e332bb66c7b2d6b337\n",
            "  Stored in directory: /root/.cache/pip/wheels/9c/52/8c/38b454b42f712f325e26f633287484c7dc1ad469e1580c5954\n",
            "Successfully built llava ffmpy wavedrom\n",
            "Installing collected packages: pydub, ffmpy, websockets, tomlkit, svgwrite, shortuuid, shellingham, semantic-version, ruff, python-multipart, orjson, 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, markdown2, h11, einops, colorama, aiofiles, wavedrom, uvicorn, starlette, nvidia-cusparse-cu12, nvidia-cudnn-cu12, httpcore, einops-exts, bitsandbytes, tokenizers, nvidia-cusolver-cu12, httpx, fastapi, transformers, torch, gradio-client, torchvision, gradio, accelerate, timm, peft, llava\n",
            "  Attempting uninstall: tokenizers\n",
            "    Found existing installation: tokenizers 0.15.2\n",
            "    Uninstalling tokenizers-0.15.2:\n",
            "      Successfully uninstalled tokenizers-0.15.2\n",
            "  Attempting uninstall: transformers\n",
            "    Found existing installation: transformers 4.38.1\n",
            "    Uninstalling transformers-4.38.1:\n",
            "      Successfully uninstalled transformers-4.38.1\n",
            "  Attempting uninstall: torch\n",
            "    Found existing installation: torch 2.1.0+cu121\n",
            "    Uninstalling torch-2.1.0+cu121:\n",
            "      Successfully uninstalled torch-2.1.0+cu121\n",
            "  Attempting uninstall: torchvision\n",
            "    Found existing installation: torchvision 0.16.0+cu121\n",
            "    Uninstalling torchvision-0.16.0+cu121:\n",
            "      Successfully uninstalled torchvision-0.16.0+cu121\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+cu121 requires torch==2.1.0, but you have torch 2.1.2 which is incompatible.\n",
            "torchdata 0.7.0 requires torch==2.1.0, but you have torch 2.1.2 which is incompatible.\n",
            "torchtext 0.16.0 requires torch==2.1.0, but you have torch 2.1.2 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed accelerate-0.21.0 aiofiles-23.2.1 bitsandbytes-0.42.0 colorama-0.4.6 einops-0.6.1 einops-exts-0.0.4 fastapi-0.110.0 ffmpy-0.3.2 gradio-4.16.0 gradio-client-0.8.1 h11-0.14.0 httpcore-0.17.3 httpx-0.24.0 llava-1.2.2.post1 markdown2-2.4.13 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-cu12-12.4.99 nvidia-nvtx-cu12-12.1.105 orjson-3.9.15 peft-0.9.0 pydub-0.25.1 python-multipart-0.0.9 ruff-0.3.0 semantic-version-2.10.0 shellingham-1.5.4 shortuuid-1.0.12 starlette-0.36.3 svgwrite-1.4.3 timm-0.6.13 tokenizers-0.15.1 tomlkit-0.12.0 torch-2.1.2 torchvision-0.16.2 transformers-4.37.2 uvicorn-0.27.1 wavedrom-2.0.3.post3 websockets-11.0.3\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\u001b[33m\n",
            "\u001b[0m/root/DriveLLaVA\n",
            "Requirement already satisfied: pip in /usr/local/lib/python3.10/dist-packages (24.0)\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\u001b[33m\n",
            "\u001b[0mObtaining file:///root/DriveLLaVA\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (from drivellava==0.1.0) (4.37.2)\n",
            "Collecting deepspeed (from drivellava==0.1.0)\n",
            "  Downloading deepspeed-0.13.5.tar.gz (1.3 MB)\n",
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            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting wandb (from drivellava==0.1.0)\n",
            "  Downloading wandb-0.16.4-py3-none-any.whl.metadata (10 kB)\n",
            "Requirement already satisfied: opencv-python in /usr/local/lib/python3.10/dist-packages (from drivellava==0.1.0) (4.8.0.76)\n",
            "Collecting onnxruntime-gpu==1.15.0 (from drivellava==0.1.0)\n",
            "  Downloading onnxruntime_gpu-1.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.9 kB)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from drivellava==0.1.0) (1.11.4)\n",
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            "Collecting coloredlogs (from onnxruntime-gpu==1.15.0->drivellava==0.1.0)\n",
            "  Downloading coloredlogs-15.0.1-py2.py3-none-any.whl.metadata (12 kB)\n",
            "Requirement already satisfied: flatbuffers in /usr/local/lib/python3.10/dist-packages (from onnxruntime-gpu==1.15.0->drivellava==0.1.0) (23.5.26)\n",
            "Requirement already satisfied: numpy>=1.21.6 in /usr/local/lib/python3.10/dist-packages (from onnxruntime-gpu==1.15.0->drivellava==0.1.0) (1.25.2)\n",
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            "Requirement already satisfied: pytest in /usr/local/lib/python3.10/dist-packages (from drivellava==0.1.0) (7.4.4)\n",
            "Collecting coverage (from drivellava==0.1.0)\n",
            "  Downloading coverage-7.4.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.2 kB)\n",
            "Collecting flake8 (from drivellava==0.1.0)\n",
            "  Downloading flake8-7.0.0-py2.py3-none-any.whl.metadata (3.8 kB)\n",
            "Collecting black (from drivellava==0.1.0)\n",
            "  Downloading black-24.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (74 kB)\n",
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            "\u001b[?25hCollecting isort (from drivellava==0.1.0)\n",
            "  Downloading isort-5.13.2-py3-none-any.whl.metadata (12 kB)\n",
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            "Building wheels for collected packages: deepspeed\n",
            "  Building wheel for deepspeed (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "Installing collected packages: ninja, hjson, gitchangelog, watchdog, types-requests, smmap, setproctitle, sentry-sdk, pyyaml-env-tag, pynvml, pyflakes, pycodestyle, pathspec, mypy-extensions, mergedeep, mccabe, lark, isort, humanfriendly, docker-pycreds, coverage, mypy, gitdb, ghp-import, flake8, coloredlogs, black, pytest-cov, onnxruntime-gpu, mkdocs, GitPython, wandb, deepspeed, drivellava\n",
            "  Running setup.py develop for drivellava\n",
            "Successfully installed GitPython-3.1.42 black-24.2.0 coloredlogs-15.0.1 coverage-7.4.3 deepspeed-0.13.5 docker-pycreds-0.4.0 drivellava-0.1.0 flake8-7.0.0 ghp-import-2.1.0 gitchangelog-3.0.4 gitdb-4.0.11 hjson-3.1.0 humanfriendly-10.0 isort-5.13.2 lark-1.1.9 mccabe-0.7.0 mergedeep-1.3.4 mkdocs-1.5.3 mypy-1.8.0 mypy-extensions-1.0.0 ninja-1.11.1.1 onnxruntime-gpu-1.15.0 pathspec-0.12.1 pycodestyle-2.11.1 pyflakes-3.2.0 pynvml-11.5.0 pytest-cov-4.1.0 pyyaml-env-tag-0.1 sentry-sdk-1.40.6 setproctitle-1.3.3 smmap-5.0.1 types-requests-2.31.0.20240218 wandb-0.16.4 watchdog-4.0.0\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\u001b[33m\n",
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            "\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\u001b[33m\n",
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            "Collecting idna<4,>=2.5 (from requests->torchvision==0.16.2)\n",
            "  Downloading https://download.pytorch.org/whl/idna-3.4-py3-none-any.whl (61 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m61.5/61.5 kB\u001b[0m \u001b[31m5.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting urllib3<1.27,>=1.21.1 (from requests->torchvision==0.16.2)\n",
            "  Downloading https://download.pytorch.org/whl/urllib3-1.26.13-py2.py3-none-any.whl (140 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m140.6/140.6 kB\u001b[0m \u001b[31m13.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting certifi>=2017.4.17 (from requests->torchvision==0.16.2)\n",
            "  Downloading https://download.pytorch.org/whl/certifi-2022.12.7-py3-none-any.whl (155 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m155.3/155.3 kB\u001b[0m \u001b[31m14.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting mpmath>=0.19 (from sympy->torch==2.1.2)\n",
            "  Downloading https://download.pytorch.org/whl/mpmath-1.3.0-py3-none-any.whl (536 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m536.2/536.2 kB\u001b[0m \u001b[31m36.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: mpmath, urllib3, typing-extensions, sympy, pillow, numpy, networkx, MarkupSafe, idna, fsspec, filelock, charset-normalizer, certifi, triton, requests, jinja2, torch, torchvision, torchaudio\n",
            "  Attempting uninstall: mpmath\n",
            "    Found existing installation: mpmath 1.3.0\n",
            "    Uninstalling mpmath-1.3.0:\n",
            "      Successfully uninstalled mpmath-1.3.0\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: typing-extensions\n",
            "    Found existing installation: typing_extensions 4.10.0\n",
            "    Uninstalling typing_extensions-4.10.0:\n",
            "      Successfully uninstalled typing_extensions-4.10.0\n",
            "  Attempting uninstall: sympy\n",
            "    Found existing installation: sympy 1.12\n",
            "    Uninstalling sympy-1.12:\n",
            "      Successfully uninstalled sympy-1.12\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",
            "  Attempting uninstall: numpy\n",
            "    Found existing installation: numpy 1.25.2\n",
            "    Uninstalling numpy-1.25.2:\n",
            "      Successfully uninstalled numpy-1.25.2\n",
            "  Attempting uninstall: networkx\n",
            "    Found existing installation: networkx 3.2.1\n",
            "    Uninstalling networkx-3.2.1:\n",
            "      Successfully uninstalled networkx-3.2.1\n",
            "  Attempting uninstall: MarkupSafe\n",
            "    Found existing installation: MarkupSafe 2.1.5\n",
            "    Uninstalling MarkupSafe-2.1.5:\n",
            "      Successfully uninstalled MarkupSafe-2.1.5\n",
            "  Attempting uninstall: idna\n",
            "    Found existing installation: idna 3.6\n",
            "    Uninstalling idna-3.6:\n",
            "      Successfully uninstalled idna-3.6\n",
            "  Attempting uninstall: fsspec\n",
            "    Found existing installation: fsspec 2023.6.0\n",
            "    Uninstalling fsspec-2023.6.0:\n",
            "      Successfully uninstalled fsspec-2023.6.0\n",
            "  Attempting uninstall: filelock\n",
            "    Found existing installation: filelock 3.13.1\n",
            "    Uninstalling filelock-3.13.1:\n",
            "      Successfully uninstalled filelock-3.13.1\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: certifi\n",
            "    Found existing installation: certifi 2024.2.2\n",
            "    Uninstalling certifi-2024.2.2:\n",
            "      Successfully uninstalled certifi-2024.2.2\n",
            "  Attempting uninstall: triton\n",
            "    Found existing installation: triton 2.1.0\n",
            "    Uninstalling triton-2.1.0:\n",
            "      Successfully uninstalled triton-2.1.0\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",
            "  Attempting uninstall: jinja2\n",
            "    Found existing installation: Jinja2 3.1.3\n",
            "    Uninstalling Jinja2-3.1.3:\n",
            "      Successfully uninstalled Jinja2-3.1.3\n",
            "  Attempting uninstall: torch\n",
            "    Found existing installation: torch 2.1.2\n",
            "    Uninstalling torch-2.1.2:\n",
            "      Successfully uninstalled torch-2.1.2\n",
            "  Attempting uninstall: torchvision\n",
            "    Found existing installation: torchvision 0.16.2\n",
            "    Uninstalling torchvision-0.16.2:\n",
            "      Successfully uninstalled torchvision-0.16.2\n",
            "  Attempting uninstall: torchaudio\n",
            "    Found existing installation: torchaudio 2.1.0+cu121\n",
            "    Uninstalling torchaudio-2.1.0+cu121:\n",
            "      Successfully uninstalled torchaudio-2.1.0+cu121\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",
            "gcsfs 2023.6.0 requires fsspec==2023.6.0, but you have fsspec 2023.4.0 which is incompatible.\n",
            "google-colab 1.0.0 requires requests==2.31.0, but you have requests 2.28.1 which is incompatible.\n",
            "huggingface-hub 0.20.3 requires fsspec>=2023.5.0, but you have fsspec 2023.4.0 which is incompatible.\n",
            "imageio 2.31.6 requires pillow<10.1.0,>=8.3.2, but you have pillow 10.2.0 which is incompatible.\n",
            "torchdata 0.7.0 requires torch==2.1.0, but you have torch 2.1.2+cu121 which is incompatible.\n",
            "torchtext 0.16.0 requires torch==2.1.0, but you have torch 2.1.2+cu121 which is incompatible.\n",
            "types-requests 2.31.0.20240218 requires urllib3>=2, but you have urllib3 1.26.13 which is incompatible.\n",
            "yfinance 0.2.37 requires requests>=2.31, but you have requests 2.28.1 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed MarkupSafe-2.1.3 certifi-2022.12.7 charset-normalizer-2.1.1 filelock-3.9.0 fsspec-2023.4.0 idna-3.4 jinja2-3.1.2 mpmath-1.3.0 networkx-3.2.1 numpy-1.26.3 pillow-10.2.0 requests-2.28.1 sympy-1.12 torch-2.1.2+cu121 torchaudio-2.1.2+cu121 torchvision-0.16.2+cu121 triton-2.1.0 typing-extensions-4.8.0 urllib3-1.26.13\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\u001b[33m\n",
            "\u001b[0m"
          ]
        },
        {
          "data": {
            "application/vnd.colab-display-data+json": {
              "id": "eabf7c1c586b45abbc5e09e99e893025",
              "pip_warning": {
                "packages": [
                  "PIL",
                  "certifi"
                ]
              }
            }
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree... Done\n",
            "Reading state information... Done\n",
            "libsm6 is already the newest version (2:1.2.3-1build2).\n",
            "libxext6 is already the newest version (2:1.3.4-1build1).\n",
            "ffmpeg is already the newest version (7:4.4.2-0ubuntu0.22.04.1).\n",
            "0 upgraded, 0 newly installed, 0 to remove and 35 not upgraded.\n",
            "env: BNB_CUDA_VERSION=121\n"
          ]
        }
      ],
      "source": [
        "# Install dependencies (4 mins)\n",
        "\n",
        "!pip install --upgrade pip\n",
        "\n",
        "%cd ~/DriveLLaVA/LLaVA\n",
        "!pip install .\n",
        "\n",
        "%cd ~/DriveLLaVA\n",
        "!pip install -U pip\n",
        "!pip install -e .[test]\n",
        "!pip install flash-attn --no-build-isolation --no-cache-dir\n",
        "!pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cu121 --force-reinstall\n",
        "\n",
        "!apt-get install ffmpeg libsm6 libxext6  -y\n",
        "\n",
        "\n",
        "%env BNB_CUDA_VERSION=121\n",
        "# %env LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib/python3.10/dist-packages/nvidia/cuda_runtime/lib"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yF4wYrA3UqQ-",
        "outputId": "72b03057-ce09-43c1-df76-ac4a2c7dca4d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/root/DriveLLaVA\n",
            "remote: Enumerating objects: 5, done.\u001b[K\n",
            "remote: Counting objects: 100% (5/5), done.\u001b[K\n",
            "remote: Total 5 (delta 4), reused 5 (delta 4), pack-reused 0\u001b[K\n",
            "Unpacking objects: 100% (5/5), 432 bytes | 432.00 KiB/s, done.\n",
            "From https://github.com/AdityaNG/DriveLLaVA\n",
            "   915f502..7f04ad9  main       -> origin/main\n",
            "Updating 915f502..7f04ad9\n",
            "Fast-forward\n",
            " drivellava/scripts/train.py | 3 \u001b[32m++\u001b[m\u001b[31m-\u001b[m\n",
            " 1 file changed, 2 insertions(+), 1 deletion(-)\n"
          ]
        }
      ],
      "source": [
        "# Update code\n",
        "\n",
        "%cd ~/DriveLLaVA\n",
        "!git pull"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/"
        },
        "id": "JMD-R9GKVwnR",
        "outputId": "179072ee-45de-44de-ebf7-4c423515453a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "{'loss': 1.9857, 'learning_rate': 1.9387359850635725e-08, 'epoch': 0.14}\n",
            "{'loss': 1.751, 'learning_rate': 1.938669486604179e-08, 'epoch': 0.14}\n",
            "{'loss': 1.8783, 'learning_rate': 1.938602953215993e-08, 'epoch': 0.14}\n",
            "{'loss': 1.7661, 'learning_rate': 1.9385363849014886e-08, 'epoch': 0.14}\n",
            "{'loss': 2.0284, 'learning_rate': 1.9384697816631436e-08, 'epoch': 0.14}\n",
            "{'loss': 1.9208, 'learning_rate': 1.9384031435034368e-08, 'epoch': 0.14}\n",
            "{'loss': 1.9086, 'learning_rate': 1.938336470424847e-08, 'epoch': 0.14}\n",
            "{'loss': 1.9426, 'learning_rate': 1.938269762429856e-08, 'epoch': 0.14}\n",
            "{'loss': 1.8776, 'learning_rate': 1.9382030195209457e-08, 'epoch': 0.14}\n",
            "{'loss': 1.814, 'learning_rate': 1.9381362417005996e-08, 'epoch': 0.14}\n",
            "{'loss': 1.8252, 'learning_rate': 1.9380694289713027e-08, 'epoch': 0.14}\n",
            "{'loss': 1.7315, 'learning_rate': 1.938002581335541e-08, 'epoch': 0.14}\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.914117455482483, 'eval_runtime': 61.4831, 'eval_samples_per_second': 4.879, 'eval_steps_per_second': 1.22, 'epoch': 0.14}\n",
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            "100% 75/75 [00:58<00:00,  1.04s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 1.8137, 'learning_rate': 1.937197687908892e-08, 'epoch': 0.14}\n",
            "{'loss': 1.8336, 'learning_rate': 1.937130386715921e-08, 'epoch': 0.14}\n",
            "{'loss': 1.801, 'learning_rate': 1.9370630506514284e-08, 'epoch': 0.14}\n",
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            "{'loss': 1.8884, 'learning_rate': 1.936860833253881e-08, 'epoch': 0.14}\n",
            "{'loss': 1.7301, 'learning_rate': 1.9367933577283695e-08, 'epoch': 0.14}\n",
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            "{'loss': 1.7989, 'learning_rate': 1.9366583021029158e-08, 'epoch': 0.14}\n",
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            "{'loss': 1.851, 'learning_rate': 1.9349583501010675e-08, 'epoch': 0.14}\n",
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            "{'loss': 1.8273, 'learning_rate': 1.9343410423335468e-08, 'epoch': 0.14}\n",
            "{'loss': 1.7535, 'learning_rate': 1.9342722787088913e-08, 'epoch': 0.14}\n",
            "{'loss': 1.7478, 'learning_rate': 1.934203480319067e-08, 'epoch': 0.14}\n",
            "{'loss': 1.8063, 'learning_rate': 1.9341346471666335e-08, 'epoch': 0.14}\n",
            "{'loss': 1.7418, 'learning_rate': 1.9340657792541522e-08, 'epoch': 0.14}\n",
            "{'loss': 1.857, 'learning_rate': 1.933996876584186e-08, 'epoch': 0.14}\n",
            "{'loss': 1.7309, 'learning_rate': 1.9339279391592988e-08, 'epoch': 0.14}\n",
            "{'loss': 1.773, 'learning_rate': 1.9338589669820555e-08, 'epoch': 0.14}\n",
            " 14% 2400/16790 [3:39:41<14:54:46,  3.73s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.8370211124420166, 'eval_runtime': 61.8489, 'eval_samples_per_second': 4.851, 'eval_steps_per_second': 1.213, 'epoch': 0.14}\n",
            " 14% 2400/16790 [3:40:43<14:54:46,  3.73s/it]\n",
            "100% 75/75 [00:57<00:00,  1.08s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.7735025882720947, 'eval_runtime': 62.284, 'eval_samples_per_second': 4.817, 'eval_steps_per_second': 1.204, 'epoch': 0.15}\n",
            " 15% 2450/16790 [3:45:29<14:52:43,  3.74s/it]\n",
            "100% 75/75 [00:58<00:00,  1.10s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 1.6817, 'learning_rate': 1.930295364820446e-08, 'epoch': 0.15}\n",
            "{'loss': 1.6262, 'learning_rate': 1.930224589087626e-08, 'epoch': 0.15}\n",
            "{'loss': 1.7455, 'learning_rate': 1.9301537787402557e-08, 'epoch': 0.15}\n",
            "{'loss': 1.6329, 'learning_rate': 1.9300829337809697e-08, 'epoch': 0.15}\n",
            "{'loss': 1.7237, 'learning_rate': 1.930012054212404e-08, 'epoch': 0.15}\n",
            "{'loss': 1.6403, 'learning_rate': 1.9299411400371965e-08, 'epoch': 0.15}\n",
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            "{'loss': 1.6653, 'learning_rate': 1.929799207877412e-08, 'epoch': 0.15}\n",
            "{'loss': 1.7434, 'learning_rate': 1.9297281898981158e-08, 'epoch': 0.15}\n",
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            "{'loss': 1.783, 'learning_rate': 1.9295860501539303e-08, 'epoch': 0.15}\n",
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            "{'loss': 1.5798, 'learning_rate': 1.926931530003471e-08, 'epoch': 0.15}\n",
            "{'loss': 1.601, 'learning_rate': 1.9268591302559865e-08, 'epoch': 0.15}\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.716770887374878, 'eval_runtime': 62.5318, 'eval_samples_per_second': 4.798, 'eval_steps_per_second': 1.199, 'epoch': 0.15}\n",
            " 15% 2500/16790 [3:50:10<14:50:10,  3.74s/it]\n",
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            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 1.5922, 'learning_rate': 1.9267142272957557e-08, 'epoch': 0.15}\n",
            "{'loss': 1.7181, 'learning_rate': 1.9266417240884023e-08, 'epoch': 0.15}\n",
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            "{'loss': 1.5663, 'learning_rate': 1.9254769851621317e-08, 'epoch': 0.15}\n",
            "{'loss': 1.5733, 'learning_rate': 1.925403896141851e-08, 'epoch': 0.15}\n",
            "{'loss': 1.5949, 'learning_rate': 1.925330772686402e-08, 'epoch': 0.15}\n",
            "{'loss': 1.6475, 'learning_rate': 1.9252576147985064e-08, 'epoch': 0.15}\n",
            "{'loss': 1.7351, 'learning_rate': 1.925184422480886e-08, 'epoch': 0.15}\n",
            "{'loss': 1.5919, 'learning_rate': 1.9251111957362645e-08, 'epoch': 0.15}\n",
            "{'loss': 1.7743, 'learning_rate': 1.9250379345673665e-08, 'epoch': 0.15}\n",
            "{'loss': 1.8017, 'learning_rate': 1.9249646389769182e-08, 'epoch': 0.15}\n",
            "{'loss': 1.526, 'learning_rate': 1.924891308967647e-08, 'epoch': 0.15}\n",
            "{'loss': 1.7268, 'learning_rate': 1.924817944542282e-08, 'epoch': 0.15}\n",
            "{'loss': 1.5276, 'learning_rate': 1.9247445457035523e-08, 'epoch': 0.15}\n",
            "{'loss': 1.7799, 'learning_rate': 1.9246711124541895e-08, 'epoch': 0.15}\n",
            "{'loss': 1.6416, 'learning_rate': 1.9245976447969264e-08, 'epoch': 0.15}\n",
            "{'loss': 1.7307, 'learning_rate': 1.9245241427344965e-08, 'epoch': 0.15}\n",
            "{'loss': 1.7101, 'learning_rate': 1.9244506062696352e-08, 'epoch': 0.15}\n",
            "{'loss': 1.5712, 'learning_rate': 1.924377035405079e-08, 'epoch': 0.15}\n",
            "{'loss': 1.6297, 'learning_rate': 1.9243034301435646e-08, 'epoch': 0.15}\n",
            "{'loss': 1.5912, 'learning_rate': 1.924229790487832e-08, 'epoch': 0.15}\n",
            "{'loss': 1.6275, 'learning_rate': 1.9241561164406207e-08, 'epoch': 0.15}\n",
            "{'loss': 1.6056, 'learning_rate': 1.9240824080046725e-08, 'epoch': 0.15}\n",
            "{'loss': 1.5957, 'learning_rate': 1.9240086651827302e-08, 'epoch': 0.15}\n",
            "{'loss': 1.6356, 'learning_rate': 1.923934887977538e-08, 'epoch': 0.15}\n",
            "{'loss': 1.801, 'learning_rate': 1.9238610763918404e-08, 'epoch': 0.15}\n",
            "{'loss': 1.695, 'learning_rate': 1.9237872304283847e-08, 'epoch': 0.15}\n",
            "{'loss': 1.6229, 'learning_rate': 1.9237133500899185e-08, 'epoch': 0.15}\n",
            "{'loss': 1.5777, 'learning_rate': 1.9236394353791915e-08, 'epoch': 0.15}\n",
            "{'loss': 1.6938, 'learning_rate': 1.9235654862989536e-08, 'epoch': 0.15}\n",
            "{'loss': 1.5622, 'learning_rate': 1.9234915028519565e-08, 'epoch': 0.15}\n",
            "{'loss': 1.7028, 'learning_rate': 1.9234174850409533e-08, 'epoch': 0.15}\n",
            "{'loss': 1.8093, 'learning_rate': 1.9233434328686986e-08, 'epoch': 0.15}\n",
            "{'loss': 1.6425, 'learning_rate': 1.9232693463379474e-08, 'epoch': 0.15}\n",
            "{'loss': 1.6791, 'learning_rate': 1.923195225451457e-08, 'epoch': 0.15}\n",
            "{'loss': 1.6571, 'learning_rate': 1.9231210702119853e-08, 'epoch': 0.15}\n",
            " 15% 2550/16790 [3:53:47<14:45:56,  3.73s/it]\n",
            "  0% 0/75 [00:00<?, ?it/s]\u001b[A\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.6637693643569946, 'eval_runtime': 62.4348, 'eval_samples_per_second': 4.805, 'eval_steps_per_second': 1.201, 'epoch': 0.15}\n",
            " 15% 2550/16790 [3:54:49<14:45:56,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.12s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
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            "{'loss': 1.6055, 'learning_rate': 1.9201267230092067e-08, 'epoch': 0.15}\n",
            "{'loss': 1.5231, 'learning_rate': 1.920051161687997e-08, 'epoch': 0.15}\n",
            "{'loss': 1.5244, 'learning_rate': 1.9199755661307995e-08, 'epoch': 0.15}\n",
            "{'loss': 1.6141, 'learning_rate': 1.9198999363404278e-08, 'epoch': 0.15}\n",
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            "{'loss': 1.5877, 'learning_rate': 1.9197485740714178e-08, 'epoch': 0.15}\n",
            "{'loss': 1.6426, 'learning_rate': 1.9196728415984126e-08, 'epoch': 0.15}\n",
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            "{'loss': 1.4376, 'learning_rate': 1.9195212739894912e-08, 'epoch': 0.15}\n",
            "{'loss': 1.5861, 'learning_rate': 1.919445438859215e-08, 'epoch': 0.15}\n",
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            " 15% 2600/16790 [3:58:25<14:42:16,  3.73s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.613317847251892, 'eval_runtime': 62.5193, 'eval_samples_per_second': 4.799, 'eval_steps_per_second': 1.2, 'epoch': 0.15}\n",
            " 15% 2600/16790 [3:59:28<14:42:16,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.12s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 1.6292, 'learning_rate': 1.9192936659611414e-08, 'epoch': 0.15}\n",
            "{'loss': 1.4927, 'learning_rate': 1.9192177281989918e-08, 'epoch': 0.15}\n",
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            "{'loss': 1.6275, 'learning_rate': 1.9186852062830503e-08, 'epoch': 0.16}\n",
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            "{'loss': 1.5859, 'learning_rate': 1.9155325429193576e-08, 'epoch': 0.16}\n",
            " 16% 2650/16790 [4:03:06<14:38:22,  3.73s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.5647326707839966, 'eval_runtime': 63.1245, 'eval_samples_per_second': 4.753, 'eval_steps_per_second': 1.188, 'epoch': 0.16}\n",
            " 16% 2650/16790 [4:04:09<14:38:22,  3.73s/it]\n",
            "100% 75/75 [00:59<00:00,  1.12s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
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            "{'loss': 1.5849, 'learning_rate': 1.91200638919053e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4472, 'learning_rate': 1.9119272486877957e-08, 'epoch': 0.16}\n",
            "{'loss': 1.6109, 'learning_rate': 1.911848074251372e-08, 'epoch': 0.16}\n",
            "{'loss': 1.3776, 'learning_rate': 1.911768865884206e-08, 'epoch': 0.16}\n",
            "{'loss': 1.5505, 'learning_rate': 1.9116896235892444e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4238, 'learning_rate': 1.9116103473694358e-08, 'epoch': 0.16}\n",
            " 16% 2700/16790 [4:07:45<14:36:35,  3.73s/it]\n",
            "  0% 0/75 [00:00<?, ?it/s]\u001b[A\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.5222452878952026, 'eval_runtime': 62.1073, 'eval_samples_per_second': 4.83, 'eval_steps_per_second': 1.208, 'epoch': 0.16}\n",
            " 16% 2700/16790 [4:08:47<14:36:35,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.10s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 1.4941, 'learning_rate': 1.9115310372277302e-08, 'epoch': 0.16}\n",
            "{'loss': 1.6071, 'learning_rate': 1.9114516931670793e-08, 'epoch': 0.16}\n",
            "{'loss': 1.47, 'learning_rate': 1.911372315190435e-08, 'epoch': 0.16}\n",
            "{'loss': 1.5455, 'learning_rate': 1.9112929033007515e-08, 'epoch': 0.16}\n",
            "{'loss': 1.5706, 'learning_rate': 1.9112134575009834e-08, 'epoch': 0.16}\n",
            "{'loss': 1.5166, 'learning_rate': 1.911133977794087e-08, 'epoch': 0.16}\n",
            "{'loss': 1.3905, 'learning_rate': 1.91105446418302e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4806, 'learning_rate': 1.9109749166707416e-08, 'epoch': 0.16}\n",
            "{'loss': 1.5194, 'learning_rate': 1.910895335260211e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4871, 'learning_rate': 1.9108157199543895e-08, 'epoch': 0.16}\n",
            "{'loss': 1.5032, 'learning_rate': 1.91073607075624e-08, 'epoch': 0.16}\n",
            "{'loss': 1.6161, 'learning_rate': 1.9106563876687266e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4081, 'learning_rate': 1.910576670694814e-08, 'epoch': 0.16}\n",
            "{'loss': 1.365, 'learning_rate': 1.9104969198374687e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4168, 'learning_rate': 1.9104171350996585e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4886, 'learning_rate': 1.9103373164843516e-08, 'epoch': 0.16}\n",
            "{'loss': 1.6085, 'learning_rate': 1.910257463994519e-08, 'epoch': 0.16}\n",
            "{'loss': 1.53, 'learning_rate': 1.910177577633131e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4856, 'learning_rate': 1.9100976574031614e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4199, 'learning_rate': 1.9100177033075835e-08, 'epoch': 0.16}\n",
            "{'loss': 1.5185, 'learning_rate': 1.9099377153493724e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4824, 'learning_rate': 1.909857693531505e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4914, 'learning_rate': 1.9097776378569585e-08, 'epoch': 0.16}\n",
            "{'loss': 1.3218, 'learning_rate': 1.9096975483287123e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4854, 'learning_rate': 1.909617424949746e-08, 'epoch': 0.16}\n",
            "{'loss': 1.3161, 'learning_rate': 1.9095372677230412e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4992, 'learning_rate': 1.9094570766515814e-08, 'epoch': 0.16}\n",
            "{'loss': 1.5469, 'learning_rate': 1.9093768517383498e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4173, 'learning_rate': 1.9092965929863316e-08, 'epoch': 0.16}\n",
            "{'loss': 1.5771, 'learning_rate': 1.909216300398514e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4993, 'learning_rate': 1.909135973977884e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4666, 'learning_rate': 1.9090556137274315e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4917, 'learning_rate': 1.9089752196501454e-08, 'epoch': 0.16}\n",
            "{'loss': 1.5038, 'learning_rate': 1.908894791749019e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4917, 'learning_rate': 1.9088143300270435e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4203, 'learning_rate': 1.9087338344872137e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4841, 'learning_rate': 1.908653305132525e-08, 'epoch': 0.16}\n",
            "{'loss': 1.6404, 'learning_rate': 1.908572741965974e-08, 'epoch': 0.16}\n",
            "{'loss': 1.6147, 'learning_rate': 1.9084921449905583e-08, 'epoch': 0.16}\n",
            "{'loss': 1.3433, 'learning_rate': 1.908411514209277e-08, 'epoch': 0.16}\n",
            "{'loss': 1.3898, 'learning_rate': 1.9083308496251307e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4906, 'learning_rate': 1.9082501512411204e-08, 'epoch': 0.16}\n",
            "{'loss': 1.456, 'learning_rate': 1.9081694190602497e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4589, 'learning_rate': 1.9080886530855222e-08, 'epoch': 0.16}\n",
            "{'loss': 1.509, 'learning_rate': 1.9080078533199436e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4622, 'learning_rate': 1.9079270197665205e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4208, 'learning_rate': 1.9078461524282605e-08, 'epoch': 0.16}\n",
            "{'loss': 1.4337, 'learning_rate': 1.9077652513081733e-08, 'epoch': 0.16}\n",
            "{'loss': 1.5096, 'learning_rate': 1.9076843164092684e-08, 'epoch': 0.16}\n",
            "{'loss': 1.3021, 'learning_rate': 1.9076033477345585e-08, 'epoch': 0.16}\n",
            " 16% 2750/16790 [4:12:27<14:32:25,  3.73s/it]\n",
            "  0% 0/75 [00:00<?, ?it/s]\u001b[A\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.4785617589950562, 'eval_runtime': 62.8864, 'eval_samples_per_second': 4.771, 'eval_steps_per_second': 1.193, 'epoch': 0.16}\n",
            " 16% 2750/16790 [4:13:30<14:32:25,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.10s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 1.5074, 'learning_rate': 1.907522345287056e-08, 'epoch': 0.16}\n",
            "{'loss': 1.407, 'learning_rate': 1.9074413090697752e-08, 'epoch': 0.16}\n",
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            "{'loss': 1.5036, 'learning_rate': 1.9063847665690296e-08, 'epoch': 0.16}\n",
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            "{'loss': 1.3461, 'learning_rate': 1.904172203918023e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4493, 'learning_rate': 1.904089785750531e-08, 'epoch': 0.17}\n",
            "{'loss': 1.436, 'learning_rate': 1.9040073339409894e-08, 'epoch': 0.17}\n",
            "{'loss': 1.464, 'learning_rate': 1.9039248484924667e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3869, 'learning_rate': 1.9038423294080317e-08, 'epoch': 0.17}\n",
            "{'loss': 1.5362, 'learning_rate': 1.9037597766907557e-08, 'epoch': 0.17}\n",
            "{'loss': 1.5147, 'learning_rate': 1.9036771903437096e-08, 'epoch': 0.17}\n",
            "{'loss': 1.371, 'learning_rate': 1.9035945703699675e-08, 'epoch': 0.17}\n",
            "{'loss': 1.5612, 'learning_rate': 1.9035119167726026e-08, 'epoch': 0.17}\n",
            " 17% 2800/16790 [4:17:05<14:31:48,  3.74s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.4386413097381592, 'eval_runtime': 62.8236, 'eval_samples_per_second': 4.775, 'eval_steps_per_second': 1.194, 'epoch': 0.17}\n",
            " 17% 2800/16790 [4:18:08<14:31:48,  3.74s/it]\n",
            "100% 75/75 [00:58<00:00,  1.10s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.40008544921875, 'eval_runtime': 62.8555, 'eval_samples_per_second': 4.773, 'eval_steps_per_second': 1.193, 'epoch': 0.17}\n",
            " 17% 2850/16790 [4:22:52<14:26:14,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.11s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 1.4235, 'learning_rate': 1.8992520707996095e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3646, 'learning_rate': 1.899167673041374e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3616, 'learning_rate': 1.899083241824246e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4493, 'learning_rate': 1.8989987771513663e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3072, 'learning_rate': 1.8989142790258785e-08, 'epoch': 0.17}\n",
            "{'loss': 1.5201, 'learning_rate': 1.898829747450927e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4224, 'learning_rate': 1.8987451824296566e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4299, 'learning_rate': 1.898660583965215e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4592, 'learning_rate': 1.8985759520607494e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4864, 'learning_rate': 1.8984912867194094e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3593, 'learning_rate': 1.8984065879443453e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3765, 'learning_rate': 1.8983218557387088e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4758, 'learning_rate': 1.8982370901056536e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3826, 'learning_rate': 1.898152291048333e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3493, 'learning_rate': 1.8980674585699025e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4092, 'learning_rate': 1.897982592673519e-08, 'epoch': 0.17}\n",
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            "{'loss': 1.3846, 'learning_rate': 1.8977277945082372e-08, 'epoch': 0.17}\n",
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            "{'loss': 1.3425, 'learning_rate': 1.8972172963196576e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4991, 'learning_rate': 1.897132096417637e-08, 'epoch': 0.17}\n",
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            "{'loss': 1.4834, 'learning_rate': 1.8969615964673254e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4705, 'learning_rate': 1.896876296425379e-08, 'epoch': 0.17}\n",
            "{'loss': 1.388, 'learning_rate': 1.8967909630098038e-08, 'epoch': 0.17}\n",
            "{'loss': 1.2405, 'learning_rate': 1.8967055962237757e-08, 'epoch': 0.17}\n",
            "{'loss': 1.297, 'learning_rate': 1.8966201960704703e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4193, 'learning_rate': 1.8965347625530665e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4036, 'learning_rate': 1.8964492956747426e-08, 'epoch': 0.17}\n",
            "{'loss': 1.2897, 'learning_rate': 1.896363795438679e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3411, 'learning_rate': 1.8962782618480577e-08, 'epoch': 0.17}\n",
            "{'loss': 1.2845, 'learning_rate': 1.8961926949060608e-08, 'epoch': 0.17}\n",
            "{'loss': 1.218, 'learning_rate': 1.896107094615873e-08, 'epoch': 0.17}\n",
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            "{'loss': 1.4111, 'learning_rate': 1.895764360036934e-08, 'epoch': 0.17}\n",
            "{'loss': 1.2844, 'learning_rate': 1.895678593053594e-08, 'epoch': 0.17}\n",
            "{'loss': 1.2406, 'learning_rate': 1.8955927927411928e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4029, 'learning_rate': 1.895506959102924e-08, 'epoch': 0.17}\n",
            "{'loss': 1.5385, 'learning_rate': 1.8954210921419807e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3755, 'learning_rate': 1.895335191861558e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3458, 'learning_rate': 1.8952492582648525e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3806, 'learning_rate': 1.8951632913550625e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4158, 'learning_rate': 1.8950772911353862e-08, 'epoch': 0.17}\n",
            " 17% 2900/16790 [4:26:34<14:22:25,  3.73s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.3626079559326172, 'eval_runtime': 62.705, 'eval_samples_per_second': 4.784, 'eval_steps_per_second': 1.196, 'epoch': 0.17}\n",
            " 17% 2900/16790 [4:27:36<14:22:25,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.13s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 1.3443, 'learning_rate': 1.8949912576090238e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3464, 'learning_rate': 1.894905190779177e-08, 'epoch': 0.17}\n",
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            "{'loss': 1.2712, 'learning_rate': 1.8942154575995342e-08, 'epoch': 0.17}\n",
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            "{'loss': 1.4888, 'learning_rate': 1.8932635976169335e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4, 'learning_rate': 1.8931768653915953e-08, 'epoch': 0.17}\n",
            "{'loss': 1.2775, 'learning_rate': 1.8930900999302876e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3987, 'learning_rate': 1.893003301236239e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3576, 'learning_rate': 1.8929164693126802e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3516, 'learning_rate': 1.8928296041628414e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3486, 'learning_rate': 1.8927427057899554e-08, 'epoch': 0.17}\n",
            "{'loss': 1.2706, 'learning_rate': 1.8926557741972558e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3672, 'learning_rate': 1.892568809387977e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3687, 'learning_rate': 1.892481811365355e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3884, 'learning_rate': 1.892394780132628e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4089, 'learning_rate': 1.892307715693033e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3404, 'learning_rate': 1.8922206180498114e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4024, 'learning_rate': 1.8921334872062028e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4097, 'learning_rate': 1.8920463231654507e-08, 'epoch': 0.17}\n",
            "{'loss': 1.2592, 'learning_rate': 1.8919591259307972e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3097, 'learning_rate': 1.8918718955054882e-08, 'epoch': 0.17}\n",
            "{'loss': 1.4037, 'learning_rate': 1.8917846318927686e-08, 'epoch': 0.17}\n",
            "{'loss': 1.3227, 'learning_rate': 1.8916973350958865e-08, 'epoch': 0.18}\n",
            "{'loss': 1.2236, 'learning_rate': 1.89161000511809e-08, 'epoch': 0.18}\n",
            "{'loss': 1.257, 'learning_rate': 1.891522641962628e-08, 'epoch': 0.18}\n",
            "{'loss': 1.3263, 'learning_rate': 1.8914352456327525e-08, 'epoch': 0.18}\n",
            "{'loss': 1.26, 'learning_rate': 1.891347816131715e-08, 'epoch': 0.18}\n",
            "{'loss': 1.3149, 'learning_rate': 1.891260353462769e-08, 'epoch': 0.18}\n",
            "{'loss': 1.3419, 'learning_rate': 1.8911728576291684e-08, 'epoch': 0.18}\n",
            "{'loss': 1.4369, 'learning_rate': 1.89108532863417e-08, 'epoch': 0.18}\n",
            "{'loss': 1.4021, 'learning_rate': 1.8909977664810304e-08, 'epoch': 0.18}\n",
            "{'loss': 1.3634, 'learning_rate': 1.8909101711730078e-08, 'epoch': 0.18}\n",
            "{'loss': 1.1417, 'learning_rate': 1.8908225427133617e-08, 'epoch': 0.18}\n",
            "{'loss': 1.3142, 'learning_rate': 1.8907348811053532e-08, 'epoch': 0.18}\n",
            " 18% 2950/16790 [4:31:21<14:19:59,  3.73s/it]\n",
            "  0% 0/75 [00:00<?, ?it/s]\u001b[A\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.323584794998169, 'eval_runtime': 62.7459, 'eval_samples_per_second': 4.781, 'eval_steps_per_second': 1.195, 'epoch': 0.18}\n",
            " 18% 2950/16790 [4:32:24<14:19:59,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.11s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.2916135787963867, 'eval_runtime': 62.4922, 'eval_samples_per_second': 4.801, 'eval_steps_per_second': 1.2, 'epoch': 0.18}\n",
            " 18% 3000/16790 [4:37:07<14:18:12,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.12s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 1.2784, 'learning_rate': 1.8862202611438014e-08, 'epoch': 0.18}\n",
            "{'loss': 1.3518, 'learning_rate': 1.8861308803447896e-08, 'epoch': 0.18}\n",
            "{'loss': 1.4352, 'learning_rate': 1.8860414665719964e-08, 'epoch': 0.18}\n",
            "{'loss': 1.2331, 'learning_rate': 1.8859520198287485e-08, 'epoch': 0.18}\n",
            "{'loss': 1.373, 'learning_rate': 1.8858625401183752e-08, 'epoch': 0.18}\n",
            "{'loss': 1.34, 'learning_rate': 1.885773027444206e-08, 'epoch': 0.18}\n",
            "{'loss': 1.2841, 'learning_rate': 1.8856834818095712e-08, 'epoch': 0.18}\n",
            "{'loss': 1.2217, 'learning_rate': 1.8855939032178028e-08, 'epoch': 0.18}\n",
            "{'loss': 1.2508, 'learning_rate': 1.885504291672235e-08, 'epoch': 0.18}\n",
            "{'loss': 1.3402, 'learning_rate': 1.8854146471762013e-08, 'epoch': 0.18}\n",
            "{'loss': 1.2549, 'learning_rate': 1.8853249697330382e-08, 'epoch': 0.18}\n",
            "{'loss': 1.2535, 'learning_rate': 1.8852352593460822e-08, 'epoch': 0.18}\n",
            "{'loss': 1.3523, 'learning_rate': 1.8851455160186716e-08, 'epoch': 0.18}\n",
            "{'loss': 1.3887, 'learning_rate': 1.8850557397541463e-08, 'epoch': 0.18}\n",
            "{'loss': 1.3276, 'learning_rate': 1.8849659305558464e-08, 'epoch': 0.18}\n",
            "{'loss': 1.3419, 'learning_rate': 1.884876088427114e-08, 'epoch': 0.18}\n",
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            "{'loss': 1.2388, 'learning_rate': 1.8822563570215584e-08, 'epoch': 0.18}\n",
            "{'loss': 1.2881, 'learning_rate': 1.8821655285399017e-08, 'epoch': 0.18}\n",
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            "{'loss': 1.3711, 'learning_rate': 1.8818018863848228e-08, 'epoch': 0.18}\n",
            " 18% 3050/16790 [4:40:59<14:12:43,  3.72s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.2537224292755127, 'eval_runtime': 62.4104, 'eval_samples_per_second': 4.807, 'eval_steps_per_second': 1.202, 'epoch': 0.18}\n",
            " 18% 3050/16790 [4:42:01<14:12:43,  3.72s/it]\n",
            "100% 75/75 [00:58<00:00,  1.11s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
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            "{'loss': 1.1694, 'learning_rate': 1.8773047289305636e-08, 'epoch': 0.18}\n",
            "{'loss': 1.1993, 'learning_rate': 1.877212132701175e-08, 'epoch': 0.18}\n",
            " 18% 3100/16790 [4:45:43<14:09:12,  3.72s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.216959834098816, 'eval_runtime': 62.6458, 'eval_samples_per_second': 4.789, 'eval_steps_per_second': 1.197, 'epoch': 0.18}\n",
            " 18% 3100/16790 [4:46:46<14:09:12,  3.72s/it]\n",
            "100% 75/75 [00:58<00:00,  1.12s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 1.3071, 'learning_rate': 1.8771195038298806e-08, 'epoch': 0.18}\n",
            "{'loss': 1.2073, 'learning_rate': 1.8770268423201263e-08, 'epoch': 0.18}\n",
            "{'loss': 1.3543, 'learning_rate': 1.876934148175361e-08, 'epoch': 0.18}\n",
            "{'loss': 1.2279, 'learning_rate': 1.8768414213990333e-08, 'epoch': 0.18}\n",
            "{'loss': 1.2478, 'learning_rate': 1.876748661994594e-08, 'epoch': 0.18}\n",
            "{'loss': 1.2649, 'learning_rate': 1.8766558699654942e-08, 'epoch': 0.18}\n",
            "{'loss': 1.2192, 'learning_rate': 1.876563045315188e-08, 'epoch': 0.19}\n",
            "{'loss': 1.307, 'learning_rate': 1.8764701880471284e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2638, 'learning_rate': 1.876377298164771e-08, 'epoch': 0.19}\n",
            "{'loss': 1.3387, 'learning_rate': 1.876284375671572e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0282, 'learning_rate': 1.87619142057099e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1715, 'learning_rate': 1.8760984328664834e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0686, 'learning_rate': 1.8760054125615123e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0791, 'learning_rate': 1.8759123596595383e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1098, 'learning_rate': 1.8758192741640237e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1011, 'learning_rate': 1.8757261560784328e-08, 'epoch': 0.19}\n",
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            "{'loss': 1.1471, 'learning_rate': 1.874980038567001e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2785, 'learning_rate': 1.874886627326791e-08, 'epoch': 0.19}\n",
            "{'loss': 1.3584, 'learning_rate': 1.8747931835312097e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1516, 'learning_rate': 1.8746997071837332e-08, 'epoch': 0.19}\n",
            "{'loss': 1.3282, 'learning_rate': 1.8746061982878405e-08, 'epoch': 0.19}\n",
            "{'loss': 1.276, 'learning_rate': 1.8745126568470103e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1714, 'learning_rate': 1.8744190828647247e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1521, 'learning_rate': 1.8743254763444645e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1551, 'learning_rate': 1.8742318372897132e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1275, 'learning_rate': 1.8741381657039554e-08, 'epoch': 0.19}\n",
            "{'loss': 1.3477, 'learning_rate': 1.874044461590677e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2048, 'learning_rate': 1.873950724953364e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2221, 'learning_rate': 1.873856955795505e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2524, 'learning_rate': 1.8737631541205892e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1742, 'learning_rate': 1.8736693199321072e-08, 'epoch': 0.19}\n",
            "{'loss': 1.095, 'learning_rate': 1.8735754532335502e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1229, 'learning_rate': 1.873481554028411e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1309, 'learning_rate': 1.8733876223201845e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1185, 'learning_rate': 1.8732936581123652e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2586, 'learning_rate': 1.8731996614084498e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2271, 'learning_rate': 1.8731056322119363e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1836, 'learning_rate': 1.8730115705263233e-08, 'epoch': 0.19}\n",
            "{'loss': 1.3012, 'learning_rate': 1.872917476355111e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0939, 'learning_rate': 1.8728233497018008e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1572, 'learning_rate': 1.8727291905698952e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0355, 'learning_rate': 1.872634998962898e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1921, 'learning_rate': 1.872540774884314e-08, 'epoch': 0.19}\n",
            " 19% 3150/16790 [4:50:33<14:09:14,  3.74s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.1807386875152588, 'eval_runtime': 62.3004, 'eval_samples_per_second': 4.815, 'eval_steps_per_second': 1.204, 'epoch': 0.19}\n",
            " 19% 3150/16790 [4:51:35<14:09:14,  3.74s/it]\n",
            "100% 75/75 [00:58<00:00,  1.12s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 1.0829, 'learning_rate': 1.8724465183376494e-08, 'epoch': 0.19}\n",
            "{'loss': 1.3164, 'learning_rate': 1.872352229326412e-08, 'epoch': 0.19}\n",
            "{'loss': 1.17, 'learning_rate': 1.8722579078541097e-08, 'epoch': 0.19}\n",
            "{'loss': 1.173, 'learning_rate': 1.872163553924253e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0929, 'learning_rate': 1.8720691675403522e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1759, 'learning_rate': 1.8719747487059198e-08, 'epoch': 0.19}\n",
            "{'loss': 1.127, 'learning_rate': 1.8718802974244693e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1906, 'learning_rate': 1.8717858136995155e-08, 'epoch': 0.19}\n",
            "{'loss': 1.173, 'learning_rate': 1.871691297534574e-08, 'epoch': 0.19}\n",
            "{'loss': 1.3434, 'learning_rate': 1.8715967489331615e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2458, 'learning_rate': 1.871502167898797e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0441, 'learning_rate': 1.8714075544349994e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2933, 'learning_rate': 1.8713129085452894e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1314, 'learning_rate': 1.8712182302331888e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1604, 'learning_rate': 1.8711235195022212e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1789, 'learning_rate': 1.8710287763559103e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1449, 'learning_rate': 1.870934000797782e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0792, 'learning_rate': 1.8708391928313627e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2322, 'learning_rate': 1.8707443524601805e-08, 'epoch': 0.19}\n",
            "{'loss': 1.23, 'learning_rate': 1.870649479687764e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1538, 'learning_rate': 1.870554574517644e-08, 'epoch': 0.19}\n",
            "{'loss': 0.9806, 'learning_rate': 1.8704596369533523e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1833, 'learning_rate': 1.8703646669984208e-08, 'epoch': 0.19}\n",
            "{'loss': 1.219, 'learning_rate': 1.870269664656384e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0136, 'learning_rate': 1.870174629930777e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0648, 'learning_rate': 1.870079562825136e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1414, 'learning_rate': 1.8699844633429984e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1561, 'learning_rate': 1.8698893314879032e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2917, 'learning_rate': 1.86979416726339e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1446, 'learning_rate': 1.8696989706730005e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1177, 'learning_rate': 1.8696037417202765e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2393, 'learning_rate': 1.8695084804087616e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1157, 'learning_rate': 1.8694131867420012e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0628, 'learning_rate': 1.8693178607235406e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1873, 'learning_rate': 1.8692225023569273e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1582, 'learning_rate': 1.86912711164571e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0678, 'learning_rate': 1.869031688593437e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0852, 'learning_rate': 1.8689362332036607e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2376, 'learning_rate': 1.868840745479932e-08, 'epoch': 0.19}\n",
            "{'loss': 0.9883, 'learning_rate': 1.8687452254258044e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2318, 'learning_rate': 1.8686496730448324e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2324, 'learning_rate': 1.8685540883405715e-08, 'epoch': 0.19}\n",
            "{'loss': 1.153, 'learning_rate': 1.8684584713165784e-08, 'epoch': 0.19}\n",
            "{'loss': 1.308, 'learning_rate': 1.8683628219764115e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2005, 'learning_rate': 1.8682671403236295e-08, 'epoch': 0.19}\n",
            "{'loss': 1.283, 'learning_rate': 1.868171426361793e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1769, 'learning_rate': 1.868075680094464e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1194, 'learning_rate': 1.8679799015252047e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0866, 'learning_rate': 1.8678840906575793e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1238, 'learning_rate': 1.867788247495153e-08, 'epoch': 0.19}\n",
            " 19% 3200/16790 [4:55:20<14:05:48,  3.73s/it]\n",
            "  0% 0/75 [00:00<?, ?it/s]\u001b[A\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.1446411609649658, 'eval_runtime': 62.6203, 'eval_samples_per_second': 4.791, 'eval_steps_per_second': 1.198, 'epoch': 0.19}\n",
            " 19% 3200/16790 [4:56:22<14:05:48,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.11s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
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            "{'loss': 1.1848, 'learning_rate': 1.867596464300165e-08, 'epoch': 0.19}\n",
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            "{'loss': 1.0808, 'learning_rate': 1.8629549926455416e-08, 'epoch': 0.19}\n",
            " 19% 3250/16790 [5:00:04<14:02:12,  3.73s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.1120026111602783, 'eval_runtime': 62.7457, 'eval_samples_per_second': 4.781, 'eval_steps_per_second': 1.195, 'epoch': 0.19}\n",
            " 19% 3250/16790 [5:01:06<14:02:12,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.12s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 1.0062, 'learning_rate': 1.8628575072038598e-08, 'epoch': 0.19}\n",
            "{'loss': 1.163, 'learning_rate': 1.8627599896544218e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2094, 'learning_rate': 1.862662440000855e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0589, 'learning_rate': 1.8625648582467905e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1243, 'learning_rate': 1.862467244395859e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1723, 'learning_rate': 1.8623695984516924e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0354, 'learning_rate': 1.8622719204179248e-08, 'epoch': 0.19}\n",
            "{'loss': 1.2529, 'learning_rate': 1.8621742102981905e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1706, 'learning_rate': 1.8620764680961255e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0699, 'learning_rate': 1.861978693815367e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1516, 'learning_rate': 1.8618808874595533e-08, 'epoch': 0.19}\n",
            "{'loss': 1.101, 'learning_rate': 1.861783049032323e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0503, 'learning_rate': 1.8616851785373183e-08, 'epoch': 0.19}\n",
            "{'loss': 1.0157, 'learning_rate': 1.86158727597818e-08, 'epoch': 0.19}\n",
            "{'loss': 1.092, 'learning_rate': 1.8614893413585512e-08, 'epoch': 0.19}\n",
            "{'loss': 1.1122, 'learning_rate': 1.8613913746820763e-08, 'epoch': 0.19}\n",
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            "{'loss': 0.9897, 'learning_rate': 1.861097282348036e-08, 'epoch': 0.19}\n",
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            "{'loss': 1.1504, 'learning_rate': 1.8600164772862074e-08, 'epoch': 0.2}\n",
            "{'loss': 1.042, 'learning_rate': 1.8599180301951616e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1476, 'learning_rate': 1.8598195511057396e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1738, 'learning_rate': 1.859721040021606e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1599, 'learning_rate': 1.8596224969464266e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1473, 'learning_rate': 1.8595239218838683e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1623, 'learning_rate': 1.859425314837599e-08, 'epoch': 0.2}\n",
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            "{'loss': 1.0863, 'learning_rate': 1.8591293018332246e-08, 'epoch': 0.2}\n",
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            "{'loss': 1.2141, 'learning_rate': 1.8586353074944137e-08, 'epoch': 0.2}\n",
            "{'loss': 1.022, 'learning_rate': 1.8585364127600058e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0725, 'learning_rate': 1.858437486078633e-08, 'epoch': 0.2}\n",
            "{'loss': 1.2112, 'learning_rate': 1.8583385274539768e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0248, 'learning_rate': 1.8582395368897193e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0541, 'learning_rate': 1.858140514389544e-08, 'epoch': 0.2}\n",
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            " 20% 3300/16790 [5:04:56<13:59:38,  3.73s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.080170750617981, 'eval_runtime': 62.5134, 'eval_samples_per_second': 4.799, 'eval_steps_per_second': 1.2, 'epoch': 0.2}\n",
            " 20% 3300/16790 [5:05:58<13:59:38,  3.73s/it]\n",
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            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
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            "{'loss': 0.9198, 'learning_rate': 1.8553549333945635e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0721, 'learning_rate': 1.8552549863604494e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1023, 'learning_rate': 1.8551550075014755e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0682, 'learning_rate': 1.855054996821362e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9975, 'learning_rate': 1.8549549543238307e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1583, 'learning_rate': 1.854854880012604e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0507, 'learning_rate': 1.8547547738914065e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0174, 'learning_rate': 1.854654635963962e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0274, 'learning_rate': 1.8545544662339974e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9837, 'learning_rate': 1.8544542647052404e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1087, 'learning_rate': 1.8543540313814192e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0979, 'learning_rate': 1.8542537662662638e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0495, 'learning_rate': 1.854153469363505e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1842, 'learning_rate': 1.854053140676875e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1889, 'learning_rate': 1.853952780210107e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9937, 'learning_rate': 1.8538523879669357e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0815, 'learning_rate': 1.8537519639510966e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0852, 'learning_rate': 1.853651508166327e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0517, 'learning_rate': 1.8535510206163644e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9617, 'learning_rate': 1.8534505013049483e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1518, 'learning_rate': 1.853349950235819e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9427, 'learning_rate': 1.8532493674127184e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0339, 'learning_rate': 1.853148752839389e-08, 'epoch': 0.2}\n",
            "{'loss': 1.2002, 'learning_rate': 1.8530481065195748e-08, 'epoch': 0.2}\n",
            " 20% 3350/16790 [5:09:35<13:57:16,  3.74s/it]\n",
            "  0% 0/75 [00:00<?, ?it/s]\u001b[A\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.0486887693405151, 'eval_runtime': 63.0024, 'eval_samples_per_second': 4.762, 'eval_steps_per_second': 1.19, 'epoch': 0.2}\n",
            " 20% 3350/16790 [5:10:38<13:57:16,  3.74s/it]\n",
            "100% 75/75 [00:58<00:00,  1.13s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 1.0661, 'learning_rate': 1.852947428457021e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0879, 'learning_rate': 1.852846718655474e-08, 'epoch': 0.2}\n",
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            "{'loss': 1.155, 'learning_rate': 1.8497089927615465e-08, 'epoch': 0.2}\n",
            "{'loss': 1.081, 'learning_rate': 1.8496072692973366e-08, 'epoch': 0.2}\n",
            "{'loss': 0.8761, 'learning_rate': 1.8495055142184236e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9263, 'learning_rate': 1.8494037275285945e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0814, 'learning_rate': 1.8493019092316362e-08, 'epoch': 0.2}\n",
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            "{'loss': 1.2064, 'learning_rate': 1.8490981778314905e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9828, 'learning_rate': 1.8489962647358836e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1116, 'learning_rate': 1.8488943200483096e-08, 'epoch': 0.2}\n",
            "{'loss': 1.2122, 'learning_rate': 1.848792343772563e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0481, 'learning_rate': 1.8486903359124375e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0652, 'learning_rate': 1.8485882964717293e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9814, 'learning_rate': 1.8484862254542353e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1877, 'learning_rate': 1.8483841228637533e-08, 'epoch': 0.2}\n",
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            "{'loss': 1.0066, 'learning_rate': 1.848179822979026e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9057, 'learning_rate': 1.848077625692382e-08, 'epoch': 0.2}\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 1.019371509552002, 'eval_runtime': 62.8052, 'eval_samples_per_second': 4.777, 'eval_steps_per_second': 1.194, 'epoch': 0.2}\n",
            " 20% 3400/16790 [5:15:30<13:54:54,  3.74s/it]\n",
            "100% 75/75 [00:58<00:00,  1.13s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 1.1084, 'learning_rate': 1.8478731364495486e-08, 'epoch': 0.2}\n",
            "{'loss': 0.8929, 'learning_rate': 1.8477708445009685e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0214, 'learning_rate': 1.8476685210060207e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0065, 'learning_rate': 1.8475661659685125e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9859, 'learning_rate': 1.8474637793922534e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0285, 'learning_rate': 1.8473613612810526e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0871, 'learning_rate': 1.8472589116387215e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0154, 'learning_rate': 1.8471564304690723e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0268, 'learning_rate': 1.8470539177759187e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1221, 'learning_rate': 1.846951373563075e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9487, 'learning_rate': 1.8468487978343568e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0435, 'learning_rate': 1.846746190593581e-08, 'epoch': 0.2}\n",
            "{'loss': 0.8765, 'learning_rate': 1.8466435518445664e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9525, 'learning_rate': 1.8465408815911314e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1145, 'learning_rate': 1.8464381798370972e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9702, 'learning_rate': 1.846335446586285e-08, 'epoch': 0.2}\n",
            "{'loss': 1.045, 'learning_rate': 1.8462326818425175e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9718, 'learning_rate': 1.8461298856096195e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9514, 'learning_rate': 1.846027057891415e-08, 'epoch': 0.2}\n",
            "{'loss': 0.8893, 'learning_rate': 1.845924198691731e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9688, 'learning_rate': 1.845821308014395e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9588, 'learning_rate': 1.8457183858632355e-08, 'epoch': 0.2}\n",
            "{'loss': 1.007, 'learning_rate': 1.845615432242082e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9625, 'learning_rate': 1.845512447154766e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0549, 'learning_rate': 1.8454094306051196e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0168, 'learning_rate': 1.8453063825969763e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9393, 'learning_rate': 1.84520330313417e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1038, 'learning_rate': 1.845100192220537e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9649, 'learning_rate': 1.844997049859914e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0177, 'learning_rate': 1.8448938760561387e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1034, 'learning_rate': 1.8447906708130506e-08, 'epoch': 0.2}\n",
            "{'loss': 1.031, 'learning_rate': 1.84468743413449e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0175, 'learning_rate': 1.8445841660242986e-08, 'epoch': 0.2}\n",
            "{'loss': 0.8712, 'learning_rate': 1.8444808664863188e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9779, 'learning_rate': 1.8443775355243948e-08, 'epoch': 0.2}\n",
            "{'loss': 0.8871, 'learning_rate': 1.8442741731423712e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9412, 'learning_rate': 1.8441707793440948e-08, 'epoch': 0.2}\n",
            "{'loss': 1.1302, 'learning_rate': 1.8440673541334126e-08, 'epoch': 0.2}\n",
            "{'loss': 0.898, 'learning_rate': 1.843963897514173e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9306, 'learning_rate': 1.843860409490226e-08, 'epoch': 0.2}\n",
            "{'loss': 0.9971, 'learning_rate': 1.8437568900654226e-08, 'epoch': 0.2}\n",
            "{'loss': 1.0751, 'learning_rate': 1.8436533392436146e-08, 'epoch': 0.21}\n",
            "{'loss': 1.0621, 'learning_rate': 1.8435497570286553e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9815, 'learning_rate': 1.8434461434243993e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9871, 'learning_rate': 1.8433424984347017e-08, 'epoch': 0.21}\n",
            "{'loss': 1.0359, 'learning_rate': 1.8432388220634196e-08, 'epoch': 0.21}\n",
            "{'loss': 1.1703, 'learning_rate': 1.843135114314411e-08, 'epoch': 0.21}\n",
            "{'loss': 0.926, 'learning_rate': 1.8430313751915344e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9205, 'learning_rate': 1.8429276046986504e-08, 'epoch': 0.21}\n",
            "{'loss': 1.0814, 'learning_rate': 1.8428238028396208e-08, 'epoch': 0.21}\n",
            " 21% 3450/16790 [5:19:07<13:50:34,  3.74s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 0.9901812672615051, 'eval_runtime': 62.6308, 'eval_samples_per_second': 4.79, 'eval_steps_per_second': 1.197, 'epoch': 0.21}\n",
            " 21% 3450/16790 [5:20:10<13:50:34,  3.74s/it]\n",
            "100% 75/75 [00:58<00:00,  1.11s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
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            " 21% 3500/16790 [5:23:55<13:45:16,  3.73s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 0.9624963402748108, 'eval_runtime': 62.6042, 'eval_samples_per_second': 4.792, 'eval_steps_per_second': 1.198, 'epoch': 0.21}\n",
            " 21% 3500/16790 [5:24:58<13:45:16,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.11s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 0.9441, 'learning_rate': 1.837488407345304e-08, 'epoch': 0.21}\n",
            "{'loss': 1.0013, 'learning_rate': 1.8373829797965955e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9394, 'learning_rate': 1.8372775210880614e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9712, 'learning_rate': 1.8371720312236267e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8856, 'learning_rate': 1.8370665102072164e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9547, 'learning_rate': 1.836960958042757e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9706, 'learning_rate': 1.8368553747341762e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8696, 'learning_rate': 1.836749760285403e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8342, 'learning_rate': 1.8366441147003672e-08, 'epoch': 0.21}\n",
            "{'loss': 0.861, 'learning_rate': 1.836538437983e-08, 'epoch': 0.21}\n",
            "{'loss': 1.037, 'learning_rate': 1.836432730137234e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9725, 'learning_rate': 1.8363269911670025e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9331, 'learning_rate': 1.83622122107624e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9924, 'learning_rate': 1.8361154198688827e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9475, 'learning_rate': 1.8360095875488672e-08, 'epoch': 0.21}\n",
            "{'loss': 1.0511, 'learning_rate': 1.8359037241201318e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9183, 'learning_rate': 1.8357978295866158e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9626, 'learning_rate': 1.8356919039522595e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9877, 'learning_rate': 1.8355859472210046e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8737, 'learning_rate': 1.8354799593967938e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8868, 'learning_rate': 1.835373940483571e-08, 'epoch': 0.21}\n",
            "{'loss': 1.0187, 'learning_rate': 1.8352678904852815e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8602, 'learning_rate': 1.835161809405871e-08, 'epoch': 0.21}\n",
            "{'loss': 1.0859, 'learning_rate': 1.8350556972492874e-08, 'epoch': 0.21}\n",
            "{'loss': 1.0726, 'learning_rate': 1.834949554019479e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8678, 'learning_rate': 1.8348433797203953e-08, 'epoch': 0.21}\n",
            "{'loss': 0.972, 'learning_rate': 1.8347371743559877e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8972, 'learning_rate': 1.834630937930208e-08, 'epoch': 0.21}\n",
            "{'loss': 1.0952, 'learning_rate': 1.8345246704470088e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9202, 'learning_rate': 1.834418371910345e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9441, 'learning_rate': 1.834312042324172e-08, 'epoch': 0.21}\n",
            "{'loss': 1.0896, 'learning_rate': 1.8342056816924464e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9791, 'learning_rate': 1.834099290019126e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9199, 'learning_rate': 1.8339928673081693e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9107, 'learning_rate': 1.833886413563537e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9834, 'learning_rate': 1.8337799287891898e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9876, 'learning_rate': 1.8336734129890906e-08, 'epoch': 0.21}\n",
            "{'loss': 1.0691, 'learning_rate': 1.833566866167203e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9746, 'learning_rate': 1.833460288327491e-08, 'epoch': 0.21}\n",
            "{'loss': 1.0279, 'learning_rate': 1.8333536794739213e-08, 'epoch': 0.21}\n",
            "{'loss': 1.0293, 'learning_rate': 1.8332470396104607e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8554, 'learning_rate': 1.833140368741077e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9211, 'learning_rate': 1.8330336668697394e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9615, 'learning_rate': 1.8329269340004195e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8355, 'learning_rate': 1.8328201701370873e-08, 'epoch': 0.21}\n",
            "{'loss': 0.7768, 'learning_rate': 1.832713375283717e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9089, 'learning_rate': 1.832606549444282e-08, 'epoch': 0.21}\n",
            "{'loss': 0.945, 'learning_rate': 1.832499692622757e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9346, 'learning_rate': 1.832392804823119e-08, 'epoch': 0.21}\n",
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            " 21% 3550/16790 [5:28:38<13:44:02,  3.73s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 0.9383416771888733, 'eval_runtime': 63.0412, 'eval_samples_per_second': 4.759, 'eval_steps_per_second': 1.19, 'epoch': 0.21}\n",
            " 21% 3550/16790 [5:29:41<13:44:02,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.12s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 0.9809, 'learning_rate': 1.832178936305413e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9062, 'learning_rate': 1.832071955595304e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9067, 'learning_rate': 1.8319649439229976e-08, 'epoch': 0.21}\n",
            "{'loss': 0.833, 'learning_rate': 1.8318579012924765e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8914, 'learning_rate': 1.8317508277077236e-08, 'epoch': 0.21}\n",
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            "{'loss': 0.8973, 'learning_rate': 1.8313222239060992e-08, 'epoch': 0.21}\n",
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            "{'loss': 0.9638, 'learning_rate': 1.830893125155719e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8725, 'learning_rate': 1.830785773162313e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9969, 'learning_rate': 1.8306783902545703e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8676, 'learning_rate': 1.8305709764364866e-08, 'epoch': 0.21}\n",
            "{'loss': 1.0264, 'learning_rate': 1.830463531712059e-08, 'epoch': 0.21}\n",
            "{'loss': 0.964, 'learning_rate': 1.8303560560852856e-08, 'epoch': 0.21}\n",
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            "{'loss': 0.8911, 'learning_rate': 1.8300334438308877e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8803, 'learning_rate': 1.829925844634735e-08, 'epoch': 0.21}\n",
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            "{'loss': 0.9297, 'learning_rate': 1.8293873854990174e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8988, 'learning_rate': 1.829279601068935e-08, 'epoch': 0.21}\n",
            "{'loss': 1.0063, 'learning_rate': 1.8291717857805613e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8466, 'learning_rate': 1.829063939637909e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8252, 'learning_rate': 1.828956062644991e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8618, 'learning_rate': 1.8288481548058212e-08, 'epoch': 0.21}\n",
            "{'loss': 0.7929, 'learning_rate': 1.828740216124416e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8248, 'learning_rate': 1.8286322466047906e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8226, 'learning_rate': 1.8285242462509634e-08, 'epoch': 0.21}\n",
            "{'loss': 0.7887, 'learning_rate': 1.828416215066953e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9976, 'learning_rate': 1.828308153056779e-08, 'epoch': 0.21}\n",
            "{'loss': 0.7829, 'learning_rate': 1.8282000602244635e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9048, 'learning_rate': 1.8280919365740274e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9285, 'learning_rate': 1.8279837821094952e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9276, 'learning_rate': 1.827875596834891e-08, 'epoch': 0.21}\n",
            "{'loss': 1.0585, 'learning_rate': 1.82776738075424e-08, 'epoch': 0.21}\n",
            "{'loss': 0.9927, 'learning_rate': 1.82765913387157e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8592, 'learning_rate': 1.8275508561909084e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8445, 'learning_rate': 1.827442547716284e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8944, 'learning_rate': 1.8273342084517276e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8386, 'learning_rate': 1.8272258384012706e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8397, 'learning_rate': 1.8271174375689454e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8696, 'learning_rate': 1.8270090059587858e-08, 'epoch': 0.21}\n",
            "{'loss': 0.8078, 'learning_rate': 1.8269005435748263e-08, 'epoch': 0.21}\n",
            " 21% 3600/16790 [5:33:22<13:40:45,  3.73s/it]\n",
            "  0% 0/75 [00:00<?, ?it/s]\u001b[A\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 0.9155725240707397, 'eval_runtime': 62.2357, 'eval_samples_per_second': 4.82, 'eval_steps_per_second': 1.205, 'epoch': 0.21}\n",
            " 21% 3600/16790 [5:34:25<13:40:45,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.11s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
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            "{'loss': 0.884, 'learning_rate': 1.8214382772872453e-08, 'epoch': 0.22}\n",
            " 22% 3650/16790 [5:38:09<13:36:51,  3.73s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 0.8931581377983093, 'eval_runtime': 62.4002, 'eval_samples_per_second': 4.808, 'eval_steps_per_second': 1.202, 'epoch': 0.22}\n",
            " 22% 3650/16790 [5:39:12<13:36:51,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.11s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 1.0012, 'learning_rate': 1.821328250816489e-08, 'epoch': 0.22}\n",
            "{'loss': 0.9649, 'learning_rate': 1.8212181937833188e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8205, 'learning_rate': 1.821108106191831e-08, 'epoch': 0.22}\n",
            "{'loss': 0.7932, 'learning_rate': 1.8209979880461217e-08, 'epoch': 0.22}\n",
            "{'loss': 0.931, 'learning_rate': 1.8208878393502882e-08, 'epoch': 0.22}\n",
            "{'loss': 0.9554, 'learning_rate': 1.82077766010843e-08, 'epoch': 0.22}\n",
            "{'loss': 0.9263, 'learning_rate': 1.820667450324646e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8734, 'learning_rate': 1.820557210003038e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8062, 'learning_rate': 1.820446939147708e-08, 'epoch': 0.22}\n",
            "{'loss': 0.7686, 'learning_rate': 1.8203366377627592e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8282, 'learning_rate': 1.820226305852296e-08, 'epoch': 0.22}\n",
            "{'loss': 1.0004, 'learning_rate': 1.8201159434204236e-08, 'epoch': 0.22}\n",
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            "{'loss': 0.9161, 'learning_rate': 1.8197846730374262e-08, 'epoch': 0.22}\n",
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            "{'loss': 0.8305, 'learning_rate': 1.817902291619725e-08, 'epoch': 0.22}\n",
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            "{'loss': 0.8138, 'learning_rate': 1.8176802563267954e-08, 'epoch': 0.22}\n",
            "{'loss': 0.818, 'learning_rate': 1.817569193038263e-08, 'epoch': 0.22}\n",
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            "{'loss': 0.7135, 'learning_rate': 1.8164568875959737e-08, 'epoch': 0.22}\n",
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            "{'loss': 0.8636, 'learning_rate': 1.8162340618012387e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8189, 'learning_rate': 1.8161226033425176e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8266, 'learning_rate': 1.8160111145150902e-08, 'epoch': 0.22}\n",
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            " 22% 3700/16790 [5:43:01<13:33:34,  3.73s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 0.874377429485321, 'eval_runtime': 62.4463, 'eval_samples_per_second': 4.804, 'eval_steps_per_second': 1.201, 'epoch': 0.22}\n",
            " 22% 3700/16790 [5:44:03<13:33:34,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.13s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 0.886, 'learning_rate': 1.8157880457707125e-08, 'epoch': 0.22}\n",
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            "{'loss': 0.7662, 'learning_rate': 1.812427462238184e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8088, 'learning_rate': 1.8123149735775756e-08, 'epoch': 0.22}\n",
            "{'loss': 0.787, 'learning_rate': 1.8122024546899468e-08, 'epoch': 0.22}\n",
            "{'loss': 0.7072, 'learning_rate': 1.8120899055794846e-08, 'epoch': 0.22}\n",
            "{'loss': 0.893, 'learning_rate': 1.8119773262503766e-08, 'epoch': 0.22}\n",
            "{'loss': 0.7783, 'learning_rate': 1.8118647167068122e-08, 'epoch': 0.22}\n",
            "{'loss': 0.7405, 'learning_rate': 1.811752076952982e-08, 'epoch': 0.22}\n",
            "{'loss': 0.7934, 'learning_rate': 1.8116394069930767e-08, 'epoch': 0.22}\n",
            "{'loss': 0.9331, 'learning_rate': 1.8115267068312892e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8605, 'learning_rate': 1.8114139764718137e-08, 'epoch': 0.22}\n",
            "{'loss': 0.7939, 'learning_rate': 1.8113012159188446e-08, 'epoch': 0.22}\n",
            "{'loss': 0.9568, 'learning_rate': 1.8111884251765776e-08, 'epoch': 0.22}\n",
            "{'loss': 0.7916, 'learning_rate': 1.8110756042492097e-08, 'epoch': 0.22}\n",
            "{'loss': 0.7874, 'learning_rate': 1.8109627531409395e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8166, 'learning_rate': 1.8108498718559664e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8592, 'learning_rate': 1.8107369603984903e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8334, 'learning_rate': 1.810624018772713e-08, 'epoch': 0.22}\n",
            "{'loss': 0.9011, 'learning_rate': 1.810511046982837e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8375, 'learning_rate': 1.810398045033067e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8398, 'learning_rate': 1.8102850129276066e-08, 'epoch': 0.22}\n",
            " 22% 3750/16790 [5:47:44<13:30:56,  3.73s/it]\n",
            "  0% 0/75 [00:00<?, ?it/s]\u001b[A\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 0.8572105169296265, 'eval_runtime': 62.4818, 'eval_samples_per_second': 4.801, 'eval_steps_per_second': 1.2, 'epoch': 0.22}\n",
            " 22% 3750/16790 [5:48:46<13:30:56,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.12s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 0.8767, 'learning_rate': 1.8101719506706622e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8172, 'learning_rate': 1.810058858266441e-08, 'epoch': 0.22}\n",
            "{'loss': 0.9429, 'learning_rate': 1.8099457357191523e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8703, 'learning_rate': 1.809832583033004e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8631, 'learning_rate': 1.809719400212207e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8658, 'learning_rate': 1.809606187260974e-08, 'epoch': 0.22}\n",
            "{'loss': 0.9437, 'learning_rate': 1.8094929441835164e-08, 'epoch': 0.22}\n",
            "{'loss': 0.8284, 'learning_rate': 1.8093796709840487e-08, 'epoch': 0.22}\n",
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            "{'loss': 0.7607, 'learning_rate': 1.8072217626248917e-08, 'epoch': 0.22}\n",
            "{'loss': 0.9132, 'learning_rate': 1.8071078878718612e-08, 'epoch': 0.23}\n",
            "{'loss': 0.894, 'learning_rate': 1.806993983085571e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8158, 'learning_rate': 1.8068800482702593e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8721, 'learning_rate': 1.8067660834301656e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8582, 'learning_rate': 1.806652088569531e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7608, 'learning_rate': 1.8065380636925973e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8209, 'learning_rate': 1.806424008803607e-08, 'epoch': 0.23}\n",
            "{'loss': 0.911, 'learning_rate': 1.8063099239068048e-08, 'epoch': 0.23}\n",
            "{'loss': 0.9227, 'learning_rate': 1.8061958090064358e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7768, 'learning_rate': 1.806081664106746e-08, 'epoch': 0.23}\n",
            "{'loss': 0.853, 'learning_rate': 1.805967489211983e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8096, 'learning_rate': 1.8058532843263958e-08, 'epoch': 0.23}\n",
            "{'loss': 0.9027, 'learning_rate': 1.8057390494542333e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7492, 'learning_rate': 1.8056247845997465e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8563, 'learning_rate': 1.8055104897671878e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7956, 'learning_rate': 1.80539616496081e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8694, 'learning_rate': 1.8052818101848665e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8647, 'learning_rate': 1.8051674254436138e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8419, 'learning_rate': 1.8050530107413075e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8008, 'learning_rate': 1.804938566082205e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8141, 'learning_rate': 1.8048240914705653e-08, 'epoch': 0.23}\n",
            "{'loss': 0.9826, 'learning_rate': 1.804709586910648e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7455, 'learning_rate': 1.8045950524067135e-08, 'epoch': 0.23}\n",
            " 23% 3800/16790 [5:52:24<13:27:19,  3.73s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 0.8416292071342468, 'eval_runtime': 62.4605, 'eval_samples_per_second': 4.803, 'eval_steps_per_second': 1.201, 'epoch': 0.23}\n",
            " 23% 3800/16790 [5:53:27<13:27:19,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.11s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 0.88, 'learning_rate': 1.8044804879630247e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7178, 'learning_rate': 1.8043658935838435e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7896, 'learning_rate': 1.804251269273435e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8275, 'learning_rate': 1.8041366150360637e-08, 'epoch': 0.23}\n",
            "{'loss': 0.784, 'learning_rate': 1.8040219308759965e-08, 'epoch': 0.23}\n",
            "{'loss': 0.893, 'learning_rate': 1.803907216797501e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8024, 'learning_rate': 1.8037924728048457e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8606, 'learning_rate': 1.8036776989023e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8364, 'learning_rate': 1.8035628950941348e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7281, 'learning_rate': 1.8034480613846228e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7532, 'learning_rate': 1.803333197778036e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7619, 'learning_rate': 1.8032183042786494e-08, 'epoch': 0.23}\n",
            "{'loss': 0.702, 'learning_rate': 1.8031033808907377e-08, 'epoch': 0.23}\n",
            "{'loss': 0.769, 'learning_rate': 1.802988427618578e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7809, 'learning_rate': 1.8028734444664474e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7918, 'learning_rate': 1.8027584314386245e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8975, 'learning_rate': 1.8026433885393893e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7506, 'learning_rate': 1.8025283157730222e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8632, 'learning_rate': 1.8024132131438052e-08, 'epoch': 0.23}\n",
            "{'loss': 0.81, 'learning_rate': 1.8022980806560223e-08, 'epoch': 0.23}\n",
            "{'loss': 0.894, 'learning_rate': 1.8021829183139567e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8014, 'learning_rate': 1.802067726121894e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7632, 'learning_rate': 1.8019525040841205e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7513, 'learning_rate': 1.801837252204924e-08, 'epoch': 0.23}\n",
            "{'loss': 0.864, 'learning_rate': 1.8017219704885928e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8074, 'learning_rate': 1.8016066589394173e-08, 'epoch': 0.23}\n",
            "{'loss': 0.6719, 'learning_rate': 1.8014913175616874e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8358, 'learning_rate': 1.801375946359696e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8874, 'learning_rate': 1.8012605453377353e-08, 'epoch': 0.23}\n",
            "{'loss': 0.9264, 'learning_rate': 1.8011451145001002e-08, 'epoch': 0.23}\n",
            "{'loss': 0.9167, 'learning_rate': 1.8010296538510857e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7794, 'learning_rate': 1.8009141633949876e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8284, 'learning_rate': 1.8007986431361045e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7539, 'learning_rate': 1.8006830930787346e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8436, 'learning_rate': 1.8005675132271773e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8199, 'learning_rate': 1.800451903585734e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7564, 'learning_rate': 1.8003362641587063e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8455, 'learning_rate': 1.800220594950397e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7696, 'learning_rate': 1.800104895965111e-08, 'epoch': 0.23}\n",
            "{'loss': 0.683, 'learning_rate': 1.7999891672071526e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7711, 'learning_rate': 1.799873408680829e-08, 'epoch': 0.23}\n",
            "{'loss': 0.742, 'learning_rate': 1.7997576203904472e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7871, 'learning_rate': 1.7996418023403162e-08, 'epoch': 0.23}\n",
            "{'loss': 0.888, 'learning_rate': 1.7995259545347456e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7961, 'learning_rate': 1.7994100769780456e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7927, 'learning_rate': 1.799294169674529e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8121, 'learning_rate': 1.7991782326285085e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7907, 'learning_rate': 1.7990622658442978e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8064, 'learning_rate': 1.7989462693262128e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7468, 'learning_rate': 1.7988302430785696e-08, 'epoch': 0.23}\n",
            " 23% 3850/16790 [5:57:19<13:24:17,  3.73s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 0.8278448581695557, 'eval_runtime': 62.6443, 'eval_samples_per_second': 4.789, 'eval_steps_per_second': 1.197, 'epoch': 0.23}\n",
            " 23% 3850/16790 [5:58:22<13:24:17,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.12s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
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            " 23% 3900/16790 [6:02:18<13:22:00,  3.73s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 0.815900981426239, 'eval_runtime': 62.1917, 'eval_samples_per_second': 4.824, 'eval_steps_per_second': 1.206, 'epoch': 0.23}\n",
            " 23% 3900/16790 [6:03:20<13:22:00,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.11s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 0.779, 'learning_rate': 1.7928735845184747e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8908, 'learning_rate': 1.7927560183091097e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8602, 'learning_rate': 1.7926384226005312e-08, 'epoch': 0.23}\n",
            "{'loss': 0.809, 'learning_rate': 1.792520797397116e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7963, 'learning_rate': 1.7924031427032404e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8386, 'learning_rate': 1.7922854585232825e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7875, 'learning_rate': 1.7921677448616217e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7193, 'learning_rate': 1.792050001722638e-08, 'epoch': 0.23}\n",
            "{'loss': 0.6868, 'learning_rate': 1.7919322291107122e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8639, 'learning_rate': 1.791814427030228e-08, 'epoch': 0.23}\n",
            "{'loss': 0.899, 'learning_rate': 1.791696595485568e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8981, 'learning_rate': 1.791578734481117e-08, 'epoch': 0.23}\n",
            "{'loss': 0.895, 'learning_rate': 1.7914608440212607e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7499, 'learning_rate': 1.7913429241103863e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8139, 'learning_rate': 1.7912249747528812e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8063, 'learning_rate': 1.7911069959531346e-08, 'epoch': 0.23}\n",
            "{'loss': 0.875, 'learning_rate': 1.790988987715537e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7058, 'learning_rate': 1.7908709500444792e-08, 'epoch': 0.23}\n",
            "{'loss': 0.6813, 'learning_rate': 1.790752882944353e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7918, 'learning_rate': 1.7906347864195525e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8827, 'learning_rate': 1.7905166604744722e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8169, 'learning_rate': 1.7903985051135076e-08, 'epoch': 0.23}\n",
            "{'loss': 0.9692, 'learning_rate': 1.790280320341055e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8195, 'learning_rate': 1.7901621061615124e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8013, 'learning_rate': 1.7900438625792784e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7423, 'learning_rate': 1.789925589598754e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7765, 'learning_rate': 1.7898072872243393e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8515, 'learning_rate': 1.789688955460436e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8222, 'learning_rate': 1.7895705943114487e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7877, 'learning_rate': 1.7894522037817806e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8196, 'learning_rate': 1.7893337838758377e-08, 'epoch': 0.23}\n",
            "{'loss': 0.6716, 'learning_rate': 1.7892153345980264e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8097, 'learning_rate': 1.7890968559527543e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7489, 'learning_rate': 1.78897834794443e-08, 'epoch': 0.23}\n",
            "{'loss': 0.6678, 'learning_rate': 1.7888598105774632e-08, 'epoch': 0.23}\n",
            "{'loss': 0.6912, 'learning_rate': 1.788741243856265e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8052, 'learning_rate': 1.7886226477852474e-08, 'epoch': 0.23}\n",
            "{'loss': 0.811, 'learning_rate': 1.7885040223688233e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7103, 'learning_rate': 1.7883853676114072e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8083, 'learning_rate': 1.7882666835174143e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8297, 'learning_rate': 1.7881479700912604e-08, 'epoch': 0.23}\n",
            "{'loss': 0.7793, 'learning_rate': 1.7880292273373636e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8183, 'learning_rate': 1.787910455260142e-08, 'epoch': 0.23}\n",
            "{'loss': 0.809, 'learning_rate': 1.7877916538640152e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8645, 'learning_rate': 1.7876728231534042e-08, 'epoch': 0.23}\n",
            "{'loss': 0.8593, 'learning_rate': 1.7875539631327308e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8674, 'learning_rate': 1.787435073806418e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8879, 'learning_rate': 1.7873161551788896e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8252, 'learning_rate': 1.7871972072545702e-08, 'epoch': 0.24}\n",
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            " 24% 3950/16790 [6:07:01<13:18:36,  3.73s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 0.8037234544754028, 'eval_runtime': 62.9542, 'eval_samples_per_second': 4.765, 'eval_steps_per_second': 1.191, 'epoch': 0.24}\n",
            " 24% 3950/16790 [6:08:04<13:18:36,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.11s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 0.8217, 'learning_rate': 1.7869592235332662e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7101, 'learning_rate': 1.7868401877451367e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7747, 'learning_rate': 1.786721122677928e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8328, 'learning_rate': 1.7866020283360704e-08, 'epoch': 0.24}\n",
            "{'loss': 0.9033, 'learning_rate': 1.7864829047239957e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7918, 'learning_rate': 1.7863637518461363e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7816, 'learning_rate': 1.7862445697069262e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8123, 'learning_rate': 1.7861253583108004e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7858, 'learning_rate': 1.7860061176621946e-08, 'epoch': 0.24}\n",
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            "{'loss': 0.81, 'learning_rate': 1.7851706144253697e-08, 'epoch': 0.24}\n",
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            "{'loss': 0.8365, 'learning_rate': 1.7834953145862957e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8574, 'learning_rate': 1.783375431507635e-08, 'epoch': 0.24}\n",
            "{'loss': 0.9726, 'learning_rate': 1.7832555192788225e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7559, 'learning_rate': 1.783135577904319e-08, 'epoch': 0.24}\n",
            "{'loss': 0.6729, 'learning_rate': 1.783015607388589e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8254, 'learning_rate': 1.7828956077360955e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8106, 'learning_rate': 1.7827755789513045e-08, 'epoch': 0.24}\n",
            "{'loss': 0.6398, 'learning_rate': 1.782655521038682e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7755, 'learning_rate': 1.7825354340026957e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8703, 'learning_rate': 1.782415317847814e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7445, 'learning_rate': 1.782295172578507e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8923, 'learning_rate': 1.7821749981992446e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7862, 'learning_rate': 1.782054794714499e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7926, 'learning_rate': 1.7819345621287433e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7907, 'learning_rate': 1.7818143004464516e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8431, 'learning_rate': 1.7816940096720982e-08, 'epoch': 0.24}\n",
            "{'loss': 0.807, 'learning_rate': 1.78157368981016e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7272, 'learning_rate': 1.7814533408651136e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8556, 'learning_rate': 1.781332962841438e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7022, 'learning_rate': 1.781212555743612e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8831, 'learning_rate': 1.7810921195761164e-08, 'epoch': 0.24}\n",
            " 24% 4000/16790 [6:11:41<13:14:42,  3.73s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 0.7940610647201538, 'eval_runtime': 62.2641, 'eval_samples_per_second': 4.818, 'eval_steps_per_second': 1.205, 'epoch': 0.24}\n",
            " 24% 4000/16790 [6:12:43<13:14:42,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.11s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 0.7843817472457886, 'eval_runtime': 62.8082, 'eval_samples_per_second': 4.776, 'eval_steps_per_second': 1.194, 'epoch': 0.24}\n",
            " 24% 4050/16790 [6:17:31<13:11:56,  3.73s/it]\n",
            "100% 75/75 [00:58<00:00,  1.12s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
            "{'loss': 0.8326, 'learning_rate': 1.7749114339526618e-08, 'epoch': 0.24}\n",
            "{'loss': 0.6414, 'learning_rate': 1.7747894923631964e-08, 'epoch': 0.24}\n",
            "{'loss': 0.9099, 'learning_rate': 1.7746675219430697e-08, 'epoch': 0.24}\n",
            "{'loss': 0.678, 'learning_rate': 1.7745455226968203e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7669, 'learning_rate': 1.7744234946289878e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7184, 'learning_rate': 1.7743014377441127e-08, 'epoch': 0.24}\n",
            "{'loss': 0.6929, 'learning_rate': 1.7741793520467373e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8165, 'learning_rate': 1.7740572375414047e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7441, 'learning_rate': 1.7739350942326586e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7854, 'learning_rate': 1.773812922125044e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7845, 'learning_rate': 1.7736907212231072e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7677, 'learning_rate': 1.7735684915313953e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8584, 'learning_rate': 1.7734462330544566e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8878, 'learning_rate': 1.7733239457968405e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8158, 'learning_rate': 1.773201629763097e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7833, 'learning_rate': 1.7730792849577787e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7857, 'learning_rate': 1.7729569113854373e-08, 'epoch': 0.24}\n",
            "{'loss': 0.6502, 'learning_rate': 1.7728345090506264e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7879, 'learning_rate': 1.7727120779579008e-08, 'epoch': 0.24}\n",
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            "{'loss': 0.7488, 'learning_rate': 1.7723446121778005e-08, 'epoch': 0.24}\n",
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            "{'loss': 0.8127, 'learning_rate': 1.7719768877405413e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8085, 'learning_rate': 1.771854255470035e-08, 'epoch': 0.24}\n",
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            "{'loss': 0.7798, 'learning_rate': 1.7716089047692733e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7923, 'learning_rate': 1.7714861863481462e-08, 'epoch': 0.24}\n",
            "{'loss': 0.813, 'learning_rate': 1.7713634392192773e-08, 'epoch': 0.24}\n",
            "{'loss': 0.8243, 'learning_rate': 1.7712406633872335e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7041, 'learning_rate': 1.771117858856584e-08, 'epoch': 0.24}\n",
            "{'loss': 0.6947, 'learning_rate': 1.7709950256318978e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7742, 'learning_rate': 1.7708721637177458e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7395, 'learning_rate': 1.7707492731187006e-08, 'epoch': 0.24}\n",
            "{'loss': 0.6381, 'learning_rate': 1.770626353839334e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7604, 'learning_rate': 1.7705034058842204e-08, 'epoch': 0.24}\n",
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            "{'loss': 0.746, 'learning_rate': 1.7697651162191277e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7489, 'learning_rate': 1.7696419676619454e-08, 'epoch': 0.24}\n",
            "{'loss': 0.786, 'learning_rate': 1.7695187904656457e-08, 'epoch': 0.24}\n",
            "{'loss': 0.735, 'learning_rate': 1.769395584634813e-08, 'epoch': 0.24}\n",
            "{'loss': 0.7457, 'learning_rate': 1.769272350174031e-08, 'epoch': 0.24}\n",
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            "{'loss': 0.8311, 'learning_rate': 1.7690257953809643e-08, 'epoch': 0.24}\n",
            "{'loss': 0.977, 'learning_rate': 1.768902475057854e-08, 'epoch': 0.24}\n",
            " 24% 4100/16790 [6:21:24<13:07:32,  3.72s/it]\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 0.7763000130653381, 'eval_runtime': 62.4487, 'eval_samples_per_second': 4.804, 'eval_steps_per_second': 1.201, 'epoch': 0.24}\n",
            " 24% 4100/16790 [6:22:26<13:07:32,  3.72s/it]\n",
            "100% 75/75 [00:58<00:00,  1.12s/it]\u001b[A\n",
            "                                   \u001b[AYou are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py:1879: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\n",
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            "{'loss': 0.7205, 'learning_rate': 1.7644439238344126e-08, 'epoch': 0.25}\n",
            "{'loss': 0.8096, 'learning_rate': 1.764319547947264e-08, 'epoch': 0.25}\n",
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            "                                             \n",
            "\u001b[A{'eval_loss': 0.768440842628479, 'eval_runtime': 63.9342, 'eval_samples_per_second': 4.692, 'eval_steps_per_second': 1.173, 'epoch': 0.25}\n",
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            "                                   \u001b[A[2024-03-06 13:32:58,241] [INFO] [launch.py:316:sigkill_handler] Killing subprocess 60634\n",
            "[2024-03-06 13:32:58,242] [ERROR] [launch.py:322:sigkill_handler] ['/usr/bin/python3', '-u', 'llava/train/train_mem.py', '--local_rank=0', '--lora_enable', 'True', '--lora_r', '128', '--lora_alpha', '256', '--mm_projector_lr', '2e-5', '--deepspeed', '/root/DriveLLaVA/config/zero3.json', '--model_name_or_path', 'liuhaotian/llava-v1.5-7b', '--version', 'llava_llama_2', '--data_path', '/root/DriveLLaVA/checkpoints/train.json', '--image_folder', '/root/Datasets/commavq', '--vision_tower', 'openai/clip-vit-large-patch14-336', '--mm_projector_type', 'mlp2x_gelu', '--mm_vision_select_layer', '-2', '--mm_use_im_start_end', 'False', '--mm_use_im_patch_token', 'False', '--image_aspect_ratio', 'pad', '--group_by_modality_length', 'True', '--bf16', 'True', '--output_dir', '/root/Datasets/checkpoints', '--num_train_epochs', '1', '--per_device_train_batch_size', '16', '--per_device_eval_batch_size', '4', '--gradient_accumulation_steps', '1', '--evaluation_strategy', 'steps', '--eval_steps', '50', '--save_strategy', 'steps', '--save_steps', '50', '--save_total_limit', '1', '--learning_rate', '2e-8', '--weight_decay', '0.', '--warmup_ratio', '0.03', '--lr_scheduler_type', 'cosine', '--logging_steps', '1', '--tf32', 'True', '--model_max_length', '2048', '--gradient_checkpointing', 'True', '--dataloader_num_workers', '4', '--lazy_preprocess', 'True', '--report_to', 'wandb'] exits with return code = -9\n"
          ]
        }
      ],
      "source": [
        "# Train\n",
        "\n",
        "%cd ~/DriveLLaVA\n",
        "!mkdir ~/DriveLLaVA/checkpoints/\n",
        "!python3 -m drivellava.scripts.train"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WzioiRJy0Ywn",
        "outputId": "ade53b14-efdc-4f6c-c54b-662d21b9e10f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/root/DriveLLaVA\n",
            "/usr/local/lib/python3.10/dist-packages/bitsandbytes/cuda_setup/main.py:107: UserWarning: \n",
            "\n",
            "================================================================================\n",
            "WARNING: Manual override via BNB_CUDA_VERSION env variable detected!\n",
            "BNB_CUDA_VERSION=XXX can be used to load a bitsandbytes version that is different from the PyTorch CUDA version.\n",
            "If this was unintended set the BNB_CUDA_VERSION variable to an empty string: export BNB_CUDA_VERSION=\n",
            "If you use the manual override make sure the right libcudart.so is in your LD_LIBRARY_PATH\n",
            "For example by adding the following to your .bashrc: export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:<path_to_cuda_dir/lib64\n",
            "Loading CUDA version: BNB_CUDA_VERSION=121\n",
            "================================================================================\n",
            "\n",
            "\n",
            "  warn((f'\\n\\n{\"=\"*80}\\n'\n",
            "[2024-03-06 06:59:02,978] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)\n",
            "2024-03-06 06:59:04.070591: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
            "2024-03-06 06:59:04.070647: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
            "2024-03-06 06:59:04.072384: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
            "2024-03-06 06:59:05.196760: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
            "model_name liuhaotian/llava-v1.5-7b\n",
            "You are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.\n",
            "Loading checkpoint shards:   0% 0/2 [00:00<?, ?it/s]/usr/local/lib/python3.10/dist-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()\n",
            "  return self.fget.__get__(instance, owner)()\n",
            "Loading checkpoint shards: 100% 2/2 [00:05<00:00,  2.68s/it]\n",
            "[WARNING] the auto inferred conversation mode is llava_v1, while `--conv-mode` is llava_llama_2, using llava_llama_2\n",
            "['SPECIAL_TOKENS_ATTRIBUTES', '__annotations__', '__call__', '__class__', '__delattr__', '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getstate__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__le__', '__len__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__setstate__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', '_add_tokens', '_added_tokens_decoder', '_added_tokens_encoder', '_additional_special_tokens', '_auto_class', '_batch_encode_plus', '_batch_prepare_for_model', '_bos_token', '_call_one', '_cls_token', '_compile_jinja_template', '_convert_id_to_token', '_convert_token_to_id', '_convert_token_to_id_with_added_voc', '_create_repo', '_decode', '_decode_use_source_tokenizer', '_encode_plus', '_eos_token', '_eventual_warn_about_too_long_sequence', '_eventually_correct_t5_max_length', '_from_pretrained', '_get_files_timestamps', '_get_padding_truncation_strategies', '_in_target_context_manager', '_mask_token', '_pad', '_pad_token', '_pad_token_type_id', '_processor_class', '_save_pretrained', '_sep_token', '_set_processor_class', '_switch_to_input_mode', '_switch_to_target_mode', '_tokenize', '_unk_token', '_update_trie', '_upload_modified_files', 'add_bos_token', 'add_eos_token', 'add_special_tokens', 'add_tokens', 'added_tokens_decoder', 'added_tokens_encoder', 'additional_special_tokens', 'additional_special_tokens_ids', 'all_special_ids', 'all_special_tokens', 'all_special_tokens_extended', 'apply_chat_template', 'as_target_tokenizer', 'batch_decode', 'batch_encode_plus', 'bos_token', 'bos_token_id', 'build_inputs_with_special_tokens', 'chat_template', 'clean_up_tokenization', 'clean_up_tokenization_spaces', 'cls_token', 'cls_token_id', 'convert_added_tokens', 'convert_ids_to_tokens', 'convert_tokens_to_ids', 'convert_tokens_to_string', 'create_token_type_ids_from_sequences', 'decode', 'default_chat_template', 'deprecation_warnings', 'encode', 'encode_plus', 'eos_token', 'eos_token_id', 'from_pretrained', 'get_added_vocab', 'get_special_tokens_mask', 'get_spm_processor', 'get_vocab', 'init_inputs', 'init_kwargs', 'is_fast', 'legacy', 'mask_token', 'mask_token_id', 'max_len_sentences_pair', 'max_len_single_sentence', 'max_model_input_sizes', 'model_input_names', 'model_max_length', 'name_or_path', 'num_special_tokens_to_add', 'pad', 'pad_token', 'pad_token_id', 'pad_token_type_id', 'padding_side', 'prepare_for_model', 'prepare_for_tokenization', 'prepare_seq2seq_batch', 'pretrained_init_configuration', 'pretrained_vocab_files_map', 'push_to_hub', 'register_for_auto_class', 'sanitize_special_tokens', 'save_pretrained', 'save_vocabulary', 'sep_token', 'sep_token_id', 'slow_tokenizer_class', 'sp_model', 'sp_model_kwargs', 'special_tokens_map', 'special_tokens_map_extended', 'split_special_tokens', 'tokenize', 'tokens_trie', 'truncate_sequences', 'truncation_side', 'unk_token', 'unk_token_id', 'unk_token_length', 'use_default_system_prompt', 'verbose', 'vocab_file', 'vocab_files_names', 'vocab_size']\n",
            "Video:   0% 0/1180 [00:00<?, ?it/s]traj_tokens ̂ -> ['▁', '̂'] -> [1, 29871, 31500]\n",
            "self.model.config.mm_use_im_start_end False\n",
            "outputs ['']\n",
            "Video:   0% 0/1180 [00:02<?, ?it/s]\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/lib/python3.10/runpy.py\", line 196, in _run_module_as_main\n",
            "    return _run_code(code, main_globals, None,\n",
            "  File \"/usr/lib/python3.10/runpy.py\", line 86, in _run_code\n",
            "    exec(code, run_globals)\n",
            "  File \"/root/DriveLLaVA/drivellava/scripts/eval.py\", line 212, in <module>\n",
            "    main()\n",
            "  File \"/root/DriveLLaVA/drivellava/scripts/eval.py\", line 134, in main\n",
            "    model_trajectory_quantized = model.run(\n",
            "  File \"/root/DriveLLaVA/drivellava/model.py\", line 172, in run\n",
            "    trajectory_token = outputs.split(\":\")[1].strip()\n",
            "IndexError: list index out of range\n"
          ]
        }
      ],
      "source": [
        "# Eval\n",
        "\n",
        "%cd ~/DriveLLaVA\n",
        "!mkdir test_media\n",
        "!python3 -m drivellava.scripts.eval --checkpoint `echo /root/Datasets/checkpoints/\\`ls ~/Datasets/checkpoints/\\``"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "gpuType": "A100",
      "machine_shape": "hm",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}