{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "C2EgqEPDQ8v6" }, "source": [ "## Finetune Falcon-7b on a Google colab\n", "\n", "Welcome to this Google Colab notebook that shows how to fine-tune the recent Falcon-7b model on a single Google colab and turn it into a chatbot\n", "\n", "We will leverage PEFT library from Hugging Face ecosystem, as well as QLoRA for more memory efficient finetuning" ] }, { "cell_type": "markdown", "metadata": { "id": "i-tTvEF1RT3y" }, "source": [ "## Setup\n", "\n", "Run the cells below to setup and install the required libraries. For our experiment we will need `accelerate`, `peft`, `transformers`, `datasets` and TRL to leverage the recent [`SFTTrainer`](https://huggingface.co/docs/trl/main/en/sft_trainer). We will use `bitsandbytes` to [quantize the base model into 4bit](https://huggingface.co/blog/4bit-transformers-bitsandbytes). We will also install `einops` as it is a requirement to load Falcon models." ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 39332, "status": "ok", "timestamp": 1686730698253, "user": { "displayName": "Younes Belkada", "userId": "15414910276690549281" }, "user_tz": -120 }, "id": "mNnkgBq7Q3EU", "outputId": "d7b64bce-31fb-4884-8a95-462792b68acd", "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", "To disable this warning, you can either:\n", "\t- Avoid using `tokenizers` before the fork if possible\n", "\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\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\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.1.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.2.1\u001b[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n", "huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", "To disable this warning, you can either:\n", "\t- Avoid using `tokenizers` before the fork if possible\n", "\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\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\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.1.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.2.1\u001b[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n" ] } ], "source": [ "!pip install -q -U trl transformers accelerate git+https://github.com/huggingface/peft.git\n", "!pip install -q datasets bitsandbytes einops wandb" ] }, { "cell_type": "markdown", "metadata": { "id": "Rnqmq7amRrU8" }, "source": [ "## Dataset\n", "\n", "For our experiment, we will use the Guanaco dataset, which is a clean subset of the OpenAssistant dataset adapted to train general purpose chatbots.\n", "\n", "The dataset can be found [here](https://huggingface.co/datasets/timdettmers/openassistant-guanaco)" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", "To disable this warning, you can either:\n", "\t- Avoid using `tokenizers` before the fork if possible\n", "\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n", "Requirement already satisfied: ipywidgets in /opt/conda/lib/python3.10/site-packages (8.0.7)\n", "Requirement already satisfied: ipykernel>=4.5.1 in /opt/conda/lib/python3.10/site-packages (from ipywidgets) (6.23.0)\n", "Requirement already satisfied: ipython>=6.1.0 in /opt/conda/lib/python3.10/site-packages (from ipywidgets) (8.13.2)\n", "Requirement already satisfied: traitlets>=4.3.1 in /opt/conda/lib/python3.10/site-packages (from ipywidgets) (5.9.0)\n", "Requirement already satisfied: widgetsnbextension~=4.0.7 in /opt/conda/lib/python3.10/site-packages (from ipywidgets) (4.0.8)\n", "Requirement already satisfied: jupyterlab-widgets~=3.0.7 in /opt/conda/lib/python3.10/site-packages (from ipywidgets) (3.0.8)\n", "Requirement already satisfied: comm>=0.1.1 in /opt/conda/lib/python3.10/site-packages (from ipykernel>=4.5.1->ipywidgets) (0.1.3)\n", "Requirement already satisfied: debugpy>=1.6.5 in /opt/conda/lib/python3.10/site-packages (from ipykernel>=4.5.1->ipywidgets) (1.6.7)\n", "Requirement already satisfied: jupyter-client>=6.1.12 in /opt/conda/lib/python3.10/site-packages (from ipykernel>=4.5.1->ipywidgets) (8.2.0)\n", "Requirement already satisfied: jupyter-core!=5.0.*,>=4.12 in /opt/conda/lib/python3.10/site-packages (from ipykernel>=4.5.1->ipywidgets) (5.3.0)\n", "Requirement already satisfied: matplotlib-inline>=0.1 in /opt/conda/lib/python3.10/site-packages (from ipykernel>=4.5.1->ipywidgets) (0.1.6)\n", "Requirement already satisfied: nest-asyncio in /opt/conda/lib/python3.10/site-packages (from ipykernel>=4.5.1->ipywidgets) (1.5.6)\n", "Requirement already satisfied: packaging in /opt/conda/lib/python3.10/site-packages (from ipykernel>=4.5.1->ipywidgets) (23.1)\n", "Requirement already satisfied: psutil in /opt/conda/lib/python3.10/site-packages (from ipykernel>=4.5.1->ipywidgets) (5.9.5)\n", "Requirement already satisfied: pyzmq>=20 in /opt/conda/lib/python3.10/site-packages (from ipykernel>=4.5.1->ipywidgets) (25.0.2)\n", "Requirement already satisfied: tornado>=6.1 in /opt/conda/lib/python3.10/site-packages (from ipykernel>=4.5.1->ipywidgets) (6.3)\n", "Requirement already satisfied: backcall in /opt/conda/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (0.2.0)\n", "Requirement already satisfied: decorator in /opt/conda/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (5.1.1)\n", "Requirement already satisfied: jedi>=0.16 in /opt/conda/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (0.18.2)\n", "Requirement already satisfied: pickleshare in /opt/conda/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (0.7.5)\n", "Requirement already satisfied: prompt-toolkit!=3.0.37,<3.1.0,>=3.0.30 in /opt/conda/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (3.0.38)\n", "Requirement already satisfied: pygments>=2.4.0 in /opt/conda/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (2.15.1)\n", "Requirement already satisfied: stack-data in /opt/conda/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (0.6.2)\n", "Requirement already satisfied: pexpect>4.3 in /opt/conda/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (4.8.0)\n", "Requirement already satisfied: parso<0.9.0,>=0.8.0 in /opt/conda/lib/python3.10/site-packages (from jedi>=0.16->ipython>=6.1.0->ipywidgets) (0.8.3)\n", "Requirement already satisfied: python-dateutil>=2.8.2 in /opt/conda/lib/python3.10/site-packages (from jupyter-client>=6.1.12->ipykernel>=4.5.1->ipywidgets) (2.8.2)\n", "Requirement already satisfied: platformdirs>=2.5 in /opt/conda/lib/python3.10/site-packages (from jupyter-core!=5.0.*,>=4.12->ipykernel>=4.5.1->ipywidgets) (3.5.0)\n", "Requirement already satisfied: ptyprocess>=0.5 in /opt/conda/lib/python3.10/site-packages (from pexpect>4.3->ipython>=6.1.0->ipywidgets) (0.7.0)\n", "Requirement already satisfied: wcwidth in /opt/conda/lib/python3.10/site-packages (from prompt-toolkit!=3.0.37,<3.1.0,>=3.0.30->ipython>=6.1.0->ipywidgets) (0.2.6)\n", "Requirement already satisfied: executing>=1.2.0 in /opt/conda/lib/python3.10/site-packages (from stack-data->ipython>=6.1.0->ipywidgets) (1.2.0)\n", "Requirement already satisfied: asttokens>=2.1.0 in /opt/conda/lib/python3.10/site-packages (from stack-data->ipython>=6.1.0->ipywidgets) (2.2.1)\n", "Requirement already satisfied: pure-eval in /opt/conda/lib/python3.10/site-packages (from stack-data->ipython>=6.1.0->ipywidgets) (0.2.2)\n", "Requirement already satisfied: six in /opt/conda/lib/python3.10/site-packages (from asttokens>=2.1.0->stack-data->ipython>=6.1.0->ipywidgets) (1.16.0)\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[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.1.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.2.1\u001b[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n" ] } ], "source": [ "!pip install ipywidgets\n" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", "To disable this warning, you can either:\n", "\t- Avoid using `tokenizers` before the fork if possible\n", "\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n", "Requirement already satisfied: datasets in /opt/conda/lib/python3.10/site-packages (2.14.0)\n", "Requirement already satisfied: numpy>=1.17 in /opt/conda/lib/python3.10/site-packages (from datasets) (1.23.5)\n", "Requirement already satisfied: pyarrow>=8.0.0 in /opt/conda/lib/python3.10/site-packages (from datasets) (12.0.0)\n", "Requirement already satisfied: dill<0.3.8,>=0.3.0 in /opt/conda/lib/python3.10/site-packages (from datasets) (0.3.6)\n", "Requirement already satisfied: pandas in /opt/conda/lib/python3.10/site-packages (from datasets) (2.0.1)\n", "Requirement already satisfied: requests>=2.19.0 in /opt/conda/lib/python3.10/site-packages (from datasets) (2.28.2)\n", "Requirement already satisfied: tqdm>=4.62.1 in /opt/conda/lib/python3.10/site-packages (from datasets) (4.65.0)\n", "Requirement already satisfied: xxhash in /opt/conda/lib/python3.10/site-packages (from datasets) (3.2.0)\n", "Requirement already satisfied: multiprocess in /opt/conda/lib/python3.10/site-packages (from datasets) (0.70.14)\n", "Requirement already satisfied: fsspec[http]>=2021.11.1 in /opt/conda/lib/python3.10/site-packages (from datasets) (2023.5.0)\n", "Requirement already satisfied: aiohttp in /opt/conda/lib/python3.10/site-packages (from datasets) (3.8.5)\n", "Requirement already satisfied: huggingface-hub<1.0.0,>=0.14.0 in /opt/conda/lib/python3.10/site-packages (from datasets) (0.16.4)\n", "Requirement already satisfied: packaging in /opt/conda/lib/python3.10/site-packages (from datasets) (23.1)\n", "Requirement already satisfied: pyyaml>=5.1 in /opt/conda/lib/python3.10/site-packages (from datasets) (5.4.1)\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/conda/lib/python3.10/site-packages (from aiohttp->datasets) (22.2.0)\n", "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/conda/lib/python3.10/site-packages (from aiohttp->datasets) (3.1.0)\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/conda/lib/python3.10/site-packages (from aiohttp->datasets) (6.0.4)\n", "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /opt/conda/lib/python3.10/site-packages (from aiohttp->datasets) (4.0.2)\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/conda/lib/python3.10/site-packages (from aiohttp->datasets) (1.9.2)\n", "Requirement already satisfied: frozenlist>=1.1.1 in /opt/conda/lib/python3.10/site-packages (from aiohttp->datasets) (1.4.0)\n", "Requirement already satisfied: aiosignal>=1.1.2 in /opt/conda/lib/python3.10/site-packages (from aiohttp->datasets) (1.3.1)\n", "Requirement already satisfied: filelock in /opt/conda/lib/python3.10/site-packages (from huggingface-hub<1.0.0,>=0.14.0->datasets) (3.12.0)\n", "Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/lib/python3.10/site-packages (from huggingface-hub<1.0.0,>=0.14.0->datasets) (4.5.0)\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.10/site-packages (from requests>=2.19.0->datasets) (3.4)\n", "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.10/site-packages (from requests>=2.19.0->datasets) (1.26.15)\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.10/site-packages (from requests>=2.19.0->datasets) (2023.5.7)\n", "Requirement already satisfied: python-dateutil>=2.8.2 in /opt/conda/lib/python3.10/site-packages (from pandas->datasets) (2.8.2)\n", "Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.10/site-packages (from pandas->datasets) (2023.3)\n", "Requirement already satisfied: tzdata>=2022.1 in /opt/conda/lib/python3.10/site-packages (from pandas->datasets) (2023.3)\n", "Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.10/site-packages (from python-dateutil>=2.8.2->pandas->datasets) (1.16.0)\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[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.1.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.2.1\u001b[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n" ] } ], "source": [ "!pip install datasets" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 232, "referenced_widgets": [ "6f571b2d32f5409987728ea9c8c39377", "45b5b31a70f94bcba5045ae9b8fc44b5", "2a12100f5a0845a6ace11f49f6e333c0", "76096265c4fa4b598e7ada98101779f6", "9034637c18d54c129a5193e2821eba53", "990827660f5f4facb9c9cd097124920c", "44a19cca5cf646d1a4544e45f5b0fcce", "f7e9db27e9d1454782d0bc8c9db86e22", "c270be36d07a47ef86b22123875f9496", "f09ab842eb194278b9643dc99bd225cc", "8173450e729748868ae98ba48bb0cdb6", "e05de646398444faa36b7dfad2f9672b", "bd2f1ad246c64a0ead1eff4cf9a79c0c", "1b1796ec19f94c37a7ee22b5a0c9e337", "4b8dd62ec02b49e89c6e658cbbbae447", "ec3f7fadf3b54dc9b7d6526f97350db6", "9ecc915631244114b0b603207659c2a9", "ccba392f28a247c79929d32226eb0459", "bddea7096980406f9b77fe7effffef17", "c7ed9c56d49540f6a192db24fbf1a183", "98db8f82daf2474d9c438135f1a33b45", "34c4945219974a0dacce4ba733d7e304", "dd32e4f5298a463b9fa0d4908100ee63", "e3efc51876e24a338af2b50a78fe64e2", "51eca9c7a83246e2afd107ff8658c268", "89f58a5c122747c6b55b1616c70e6c39", "71410f93dfdd4f32a470b389444b41ad", "b2ed038d24354024b76697d24e09cbdc", "a0561c041e644c3fbe8373751c3971aa", "e38b6a1da82740e88eaba364fd77ab27", "31a96d1c3b0f4dd89b735285cbb975f2", "c71190faec964b128c1c2f4dbf242d71", "2e01949718e8400fbabfa39f71c6c9fa", "cff979cd8890498e9d9540b16de9595c", "bee1730cfc4e4254b8e25d1797693775", "c2f69eec622842e590789d1fa70c8476", "becc8adffbde4048b433cc96e5fbf063", "e5e2e89270994205954ea1c309a136e4", "fe0b625e62de4a2e8f1d97d33ececf6f", "c5692a50c7e3472eb256e4d4c91719b5", "12638159e5f54d2faba4ecad9071281a", "73b803bf0bc0449c9d07529ac138b31a", "3270e9bcd327400babeca330164a75c4", "0cc5bcb625824db69e29731cf9598eb6", "d1a3251a95014d93af632dae53e1d3c2", "3f4406daf20d4185a3c2d8beaea4d732", "b75b653e75f4451bb2e4a7f477749da2", "92a4ef62d9af4989964f7d308dfe680e", "6789b55c59c14206919b4a57bcb02a4f", "abd0f918c58c417bbfbd4d27191d204f", "f0eefb8b3f9a4459b19ecb614f2f49d0", "d50060bdfc5e46a987e751fb75dcbced", "ac7f4dd6b4bc4f23b26476f1f7ec84c3", "577bd5b02cd64c6891556b0e7b1db356", "304a60e41b7f46169fbae1ab8607c638", "d16479cd3f604931bd75f6a026560cd3", "37cec5e69671425eafd940ee5d962928", "080a8f3330f04a82bd3b9334e0be1ec3", "f9ce9f4e7e854b439ae90d70510e58e7", "cc570b6ea1bc40b9a2aa85c9009ad488", "52b20a90d35b40b293299fedf0a09b56", "2a305e75f03244cbb0b54562b3b91a36", "b47acd1edaa143deb039ccad339a3b4f", "73d9428671c945a89c4f0937de215633", "8bad377faeba440ba200ab18b30aa213", "7cf8110a7e064113b8969cdd90fd2418", "f452852354e0470ca4cb209c64594138", "22160d30fd454414ad6d618b21a1b5a7", "f1b67a0c2c09417aa32406c99d9ed82a", "93a21af276a7495e9c66a47438b219ba", "8f7ec8c6d8c04277b6f4e90162b0cff4", "3100042605aa43389353e2715a3f1458", "f2f9ae37d73c42f5b40f69fce1e8d081", "a84fd3b0b67642a09746721fa4f6924b", "d3f1ba390d854409822008c94190ad6d", "58f0194370a9425d88a04a34a02c7797", "01f6dfa2ce894cad86a2ad9fdd51cbb9" ] }, "executionInfo": { "elapsed": 4258, "status": "ok", "timestamp": 1686730702504, "user": { "displayName": "Younes Belkada", "userId": "15414910276690549281" }, "user_tz": -120 }, "id": "0X3kHnskSWU4", "outputId": "c618b983-ac72-4a81-f2cd-307cda489f78", "tags": [] }, "outputs": [], "source": [ "import ipywidgets\n", "from datasets import load_dataset\n", "\n", "dataset_name = \"mskov/DaVinci_Completion\"\n", "dataset = load_dataset(dataset_name, split=\"train\")" ] }, { "cell_type": "markdown", "metadata": { "id": "rjOMoSbGSxx9" }, "source": [ "## Loading the model" ] }, { "cell_type": "markdown", "metadata": { "id": "AjB0WAqFSzlD" }, "source": [ "In this section we will load the [Falcon 7B model](https://huggingface.co/tiiuae/falcon-7b), quantize it in 4bit and attach LoRA adapters on it. Let's get started!" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", "To disable this warning, you can either:\n", "\t- Avoid using `tokenizers` before the fork if possible\n", "\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n", "Requirement already satisfied: torch in /opt/conda/lib/python3.10/site-packages (2.0.0)\n", "Requirement already satisfied: filelock in /opt/conda/lib/python3.10/site-packages (from torch) (3.12.0)\n", "Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.10/site-packages (from torch) (4.5.0)\n", "Requirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch) (1.11.1)\n", "Requirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch) (3.1)\n", "Requirement already satisfied: jinja2 in /opt/conda/lib/python3.10/site-packages (from torch) (3.1.2)\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.10/site-packages (from jinja2->torch) (2.1.2)\n", "Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.10/site-packages (from sympy->torch) (1.3.0)\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[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.1.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.2.1\u001b[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n" ] } ], "source": [ "!pip install torch" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "True\n" ] } ], "source": [ "import torch\n", "\n", "print(torch.cuda.is_available())\n" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000, "referenced_widgets": [ "3418452aa85a4f7187edbf27c12a96c6", 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"5dc95867535a47b0be04f223ad795ae5", "02e2a5844c434beea2ad186a3d89b50b" ] }, "executionInfo": { "elapsed": 189743, "status": "ok", "timestamp": 1686730892243, "user": { "displayName": "Younes Belkada", "userId": "15414910276690549281" }, "user_tz": -120 }, "id": "ZwXZbQ2dSwzI", "outputId": "b3dd0dbb-b991-47d0-b0ef-b447d22fa747", "tags": [] }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7383a3550baf4c5f8bca0eb954e207a8", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Loading checkpoint shards: 0%| | 0/8 [00:00\n", " \n", " \n", " [500/500 1:56:39, Epoch 5/6]\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " 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StepTraining Loss
102.862500
202.898700
302.755200
402.862700
502.660200
602.808900
702.710200
802.772000
902.695300
1002.640100
1102.648000
1202.575600
1302.600200
1402.580100
1502.667800
1602.575800
1702.686100
1802.416900
1902.365700
2002.315300
2102.360100
2202.349800
2302.411400
2402.370800
2502.417600
2602.372800
2702.105800
2802.037500
2902.082800
3002.081000
3102.100400
3202.147200
3302.143700
3402.149000
3501.975800
3601.791000
3701.736600
3801.806600
3901.782100
4001.866100
4101.809600
4201.910500
4301.862400
4401.560100
4501.396700
4601.487500
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