diff --git "a/Finetune_opt_bnb_peft.ipynb" "b/Finetune_opt_bnb_peft.ipynb" new file mode 100644--- /dev/null +++ "b/Finetune_opt_bnb_peft.ipynb" @@ -0,0 +1,9274 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "WE5GJ6s7y0Xo" + }, + "source": [ + "## Fine-tune large models using 🤗 `peft` adapters, `transformers` & `bitsandbytes`\n", + "\n", + "In this tutorial we will cover how we can fine-tune large language models using the very recent `peft` library and `bitsandbytes` for loading large models in 8-bit.\n", + "The fine-tuning method will rely on a recent method called \"Low Rank Adapters\" (LoRA), instead of fine-tuning the entire model you just have to fine-tune these adapters and load them properly inside the model. \n", + "After fine-tuning the model you can also share your adapters on the 🤗 Hub and load them very easily. Let's get started!" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "TfBzP8gWzkpv" + }, + "source": [ + "### Install requirements\n", + "\n", + "First, run the cells below to install the requirements:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "otj46qRbtpnd", + "outputId": "2aa109f6-3f4e-4887-a16e-336f51e7cc9a" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.3/76.3 MB\u001b[0m \u001b[31m10.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m462.8/462.8 KB\u001b[0m \u001b[31m25.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m199.7/199.7 KB\u001b[0m \u001b[31m25.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m190.3/190.3 KB\u001b[0m \u001b[31m23.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m213.0/213.0 KB\u001b[0m \u001b[31m26.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m132.0/132.0 KB\u001b[0m \u001b[31m18.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m140.6/140.6 KB\u001b[0m \u001b[31m20.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", + " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n", + " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", + " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", + " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n", + " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.6/7.6 MB\u001b[0m \u001b[31m72.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25h Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", + " Building wheel for peft (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n" + ] + } + ], + "source": [ + "!pip install -q bitsandbytes datasets accelerate\n", + "!pip install -q git+https://github.com/huggingface/transformers.git@main git+https://github.com/huggingface/peft.git" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "FOtwYRI3zzXI" + }, + "source": [ + "### Model loading\n", + "\n", + "Here let's load the `opt-6.7b` model, its weights in half-precision (float16) are about 13GB on the Hub! If we load them in 8-bit we would require around 7GB of memory instead." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 408, + "referenced_widgets": [ + "d4de260ffd8a440eb87eb900fc1bb1d3", + "8602b545a9f8474dbb3cc178ac0b8e60", + "b46919912ee54f6f9f2ce9080be1c61a", + "50374e3ab81c4626a182e61fc03b94ce", + "2144bc2897dc40b29f060e30ace12275", + "949ca70002ca4472bbc21fea4d7ac745", + "49943c9dadca43a584b3f354ba45280c", + "6123e53fb26b41f0af9a3a3348ae1afd", + "285ef943d540400ab827c462945a259c", + "95727290446244ccb9626f4594949675", + "61b54aa6c9e94ee1bc45c15a9e3f7917", + "fc2d5ffe254d425b939252ec46ec27cc", + "f65af2e868244edeb0cc9402534874a8", + "e466054f08004bbcabb24e400cb3c7fc", + "6ea40800dfd849e3b106bae71fc53ae3", + "722a01f42b7d4c38836a4546ecb38108", + "1bd5179cdb474b65aa06eca3520ad37b", + "04d367124a3b419ab1fa1dfd4f9004c3", + "4ea667f48b9f4e1f9da7c5a0d3025b85", + 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StepTraining Loss
12.364400
22.200400
32.302300
42.184700
51.878700
62.307200
72.193800
82.446200
92.458900
102.020000
111.941200
121.931000
132.055900
141.975100
152.015100
162.095600
171.768300
182.155700
192.402300
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" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import transformers\n", + "from datasets import load_dataset\n", + "\n", + "data = load_dataset(\"Abirate/english_quotes\")\n", + "data = data.map(lambda samples: tokenizer(samples[\"quote\"]), batched=True)\n", + "\n", + "trainer = transformers.Trainer(\n", + " model=model,\n", + " train_dataset=data[\"train\"],\n", + " args=transformers.TrainingArguments(\n", + " per_device_train_batch_size=4,\n", + " gradient_accumulation_steps=4,\n", + " warmup_steps=100,\n", + " max_steps=200,\n", + " learning_rate=2e-4,\n", + " fp16=True,\n", + " logging_steps=1,\n", + " output_dir=\"outputs\",\n", + " ),\n", + " data_collator=transformers.DataCollatorForLanguageModeling(tokenizer, mlm=False),\n", + ")\n", + "model.config.use_cache = False # silence the warnings. Please re-enable for inference!\n", + "trainer.train()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Duak7T_B3VpJ" + }, + "source": [ + "## Share adapters on the 🤗 Hub" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 331, + "referenced_widgets": [ + "262f01ffc5824b5faa8a61afac12ff67", + "c1af10b599da43a3a848f3ba816d7acc", + "be673691e713472980fa1132465714b4", + "01f8b90f0f184dfdb92c0c3bffb28b0f", + "9ad2bd0e92174d339a3a91a38253a180", + "bff17ef6aabd4aa681bfd5ad64b808d9", + "55633800b60a4336abea6a4adfcfdec1", + "73d5c6b4034d49b392b103d889bfb3b4", + "a55954b8d7bf4057b0d7aa6a1cb9e91a", + "4da42eb3846f423d88e2a6462a0cfce8", + "dab39ef354a84be3b37b6f151f9d9b9d", + "b88b03326f464c96a5656eef774e36d5", + "4eccb670e98043b3b2702821a3060ece", + "a333501a50df4b9fa9546d8d965e0dc3", + "1f173cb95c5c44f4b32f6cfe10ee3b03", + "52c8a7e673f24276a07042388a13b58f", + "a0f323ccfbc14fc4b7a5e7046b221ce3" + ] + }, + "id": "DpYr24pR8T_0", + "outputId": "20186456-1bd4-4655-b2f2-8f24f9f37fcc" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Token is valid.\n", + "Your token has been saved to /root/.cache/huggingface/token\n", + "Login successful\n" + ] + } + ], + "source": [ + "from huggingface_hub import notebook_login\n", + "\n", + "notebook_login()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 133, + "referenced_widgets": [ + "3dbe077ed0c34e4eb1628418138ccbc6", + "a579cb7804774ca3aa9efd800d1af57e", + "9f44e3175835470aba43e239661037b2", + "549bd12e3af64256a7534903688835a8", + "a18d9beb34b848ff8cc541d2cb290c4c", + "876cb42184f54b749c442163290c2c45", + "43b14e0e1263499dbd592b280cff21b0", + "7164feaf360d4300a5083f95064b144a", + "bd7547126a874a45b608afed7ab2958b", + "26e4b6b94e4540728c59df8e481ce43d", + "9d1b77500f1c45308d4791a9c443e307", + "b2693135b6954d35afb3120f3caf4000", + "aeca2429ee48450a814515cb06acbc3e", + "434c09950be04d728cd7ca8d6c134dc6", + "34f58c132d2e4249b1e62a0b57c85999", + "d148369be26a43949257790cb202728d", + "0ecf58c5cbcd40908595fccddff1c6d4", + "fc2314656a2745eb921f636cc3451381", + "7817f8669b7f449fadf02d7145fa89e2", + "06e012eea9714ed589344a362b7421bb", + "504e9e5ced0348cc87aafae0c1c372eb", + "5b538e8389fb4574a5dfdc554624e3c8" + ] + }, + "id": "VxB6UV5XAvvP", + "outputId": "c3b0133b-f5b1-4283-8367-f06524bea46c" + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Uploading the following files to ybelkada/opt-6.7b-lora: adapter_config.json,adapter_model.bin\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3dbe077ed0c34e4eb1628418138ccbc6", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Upload 1 LFS files: 0%| | 0/1 [00:00Pro Tip: If you don't already have one, you can create a dedicated\n'notebooks' token with 'write' access, that you can then easily reuse for all\nnotebooks. " + } + }, + "c006e62ee6d04831b2b89273ef04a8ac": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9e5f870ef80242f5af09fad70f84ea62", + "placeholder": "​", + "style": "IPY_MODEL_6f173ca73dd545deb22b8cd0470d925f", + "value": " 685/685 [00:00<00:00, 34.4kB/s]" + } + }, + "c1af10b599da43a3a848f3ba816d7acc": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_73d5c6b4034d49b392b103d889bfb3b4", + "placeholder": "​", + "style": "IPY_MODEL_a55954b8d7bf4057b0d7aa6a1cb9e91a", + "value": "


Copy a token from your Hugging Face\ntokens page and paste it below.
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