mirror of
https://github.com/RYDE-WORK/MiniCPM.git
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130 lines
3.4 KiB
Plaintext
130 lines
3.4 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# MiniCPM-2B 参数高效微调（LoRA）消费级单卡示例\n",
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"\n",
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"本 notebook 是一个使用 `AdvertiseGen` 数据集对 MiniCPM-2B 进行 LoRA 微调，使其具备专业的广告生成能力的代码示例。\n",
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"\n",
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"## 硬件需求\n",
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"- 显存：24GB\n",
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"- 显卡架构：安培架构（推荐）\n",
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"- 内存：16GB"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 1. 准备数据集\n",
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"\n",
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"下载 AdvertiseGen 数据集\n",
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"- [Google Drive](https://drive.google.com/file/d/13_vf0xRTQsyneRKdD1bZIr93vBGOczrk/view?usp=sharing)\n",
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"- [Tsinghua Cloud](https://cloud.tsinghua.edu.cn/f/b3f119a008264b1cabd1/?dl=1)\n",
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"\n",
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"下载后的数据集格式为 `.tar.gz` 的压缩格式，接下来的操作中，假设该压缩包被置于 `finetune/data/`。\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# 校验文件完整性\n",
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"!md5sum data/AdvertiseGen.tar.gz "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# 解压数据集\n",
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"!tar xvf data/AdvertiseGen.tar.gz "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# 转换为 ChatML 格式\n",
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"import os\n",
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"import shutil\n",
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"import json\n",
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"\n",
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"input_dir = \"data/AdvertiseGen\"\n",
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"output_dir = \"data/AdvertiseGenChatML\"\n",
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"if os.path.exists(output_dir):\n",
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" shutil.rmtree(output_dir)\n",
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"os.makedirs(output_dir, exist_ok=True)\n",
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"\n",
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"for fn in [\"train.json\", \"dev.json\"]:\n",
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" data_out_list = []\n",
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" with open(os.path.join(input_dir, fn), \"r\") as f, open(os.path.join(output_dir, fn), \"w\") as fo:\n",
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" for line in f:\n",
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" if len(line.strip()) > 0:\n",
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" data = json.loads(line)\n",
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" data_out = {\n",
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" \"messages\": [\n",
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" {\n",
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" \"role\": \"user\",\n",
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" \"content\": data[\"content\"],\n",
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" },\n",
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" {\n",
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" \"role\": \"assistant\",\n",
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" \"content\": data[\"summary\"],\n",
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" },\n",
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" ]\n",
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" }\n",
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" data_out_list.append(data_out)\n",
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" json.dump(data_out_list, fo, ensure_ascii=False, indent=4)\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 2. 使用 LoRA 进行微调\n",
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"\n",
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"命令行一键运行"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"!bash lora_finetune.sh"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "base",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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