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LLM_Engineering_OLD/week6/community-contributions/09_part4_ft_gpt4omini.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"id": "12934dbc-ff4f-4dfc-8cc1-d92cc8826cf2",
"metadata": {},
"source": [
"# 🔍 Predicting Item Prices from Descriptions (Part 4)\n",
"---\n",
"- Data Curation & Preprocessing\n",
"- Model Benchmarking Traditional ML vs LLMs\n",
"- E5 Embeddings & RAG\n",
"- ➡️ Fine-Tuning GPT-4o Mini\n",
"- Evaluating LLaMA 3.1 8B Quantized\n",
"- Fine-Tuning LLaMA 3.1 with QLoRA\n",
"- Evaluating Fine-Tuned LLaMA\n",
"- Summary & Leaderboard\n",
"\n",
"---\n",
"\n",
"# 🔧 Part 4: Fine-Tuning GPT-4o Mini\n",
"\n",
"- 🧑‍💻 Skill Level: Advanced\n",
"- ⚙️ Hardware: ✅ CPU is sufficient — no GPU required\n",
"- 🛠️ Requirements: 🔑 HF Token, Open API Key, wandb API Key\n",
"- Tasks:\n",
" - Convert chat data to .jsonl format for OpenAI\n",
" - Fine-tune the model and monitor with Weights & Biases\n",
" - Test the fine-tuned GPT-4o Mini \n",
"\n",
"Can fine-tuning GPT-4o Mini outperform both its zero-shot baseline and RAG-enhanced version? \n",
"Time to find out.\n",
"\n",
"---\n",
"📢 Find more LLM notebooks on my [GitHub repository](https://github.com/lisekarimi/lexo)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5809630f-d3ea-41df-86ec-9cbf59a46f5c",
"metadata": {},
"outputs": [],
"source": [
"# imports\n",
"\n",
"import os\n",
"import importlib\n",
"import json\n",
"import re\n",
"from dotenv import load_dotenv\n",
"from huggingface_hub import login\n",
"from datasets import load_dataset\n",
"from openai import OpenAI"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4120c84d-c310-4d31-9e1f-1549ea4a4186",
"metadata": {},
"outputs": [],
"source": [
"load_dotenv(override=True)\n",
"\n",
"openai_api_key = os.getenv('OPENAI_API_KEY')\n",
"if not openai_api_key:\n",
" print(\"❌ OPENAI_API_KEY is missing\")\n",
"\n",
"openai = OpenAI(api_key=openai_api_key)\n",
"\n",
"hf_token = os.getenv('HF_TOKEN')\n",
"if not hf_token:\n",
" print(\"❌ HF_TOKEN is missing\")\n",
"\n",
"login(hf_token, add_to_git_credential=True)"
]
},
{
"cell_type": "markdown",
"id": "31d3aa97-68a8-4f71-a43f-107f7c8553c5",
"metadata": {},
"source": [
"## 📥 Load Dataset"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f2bae96a",
"metadata": {},
"outputs": [],
"source": [
"# #If you face NotImplementedError: Loading a dataset cached in a LocalFileSystem is not supported run:\n",
"# %pip install -U datasets"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c45e23d6-1304-4859-81f0-35a9ddf1c755",
"metadata": {},
"outputs": [],
"source": [
"HF_USER = \"lisekarimi\"\n",
"DATASET_NAME = f\"{HF_USER}/pricer-data\"\n",
"\n",
"dataset = load_dataset(DATASET_NAME)\n",
"train = dataset['train']\n",
"test = dataset['test']"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "667adda8-add8-41b6-9e60-7870bad20c02",
"metadata": {},
"outputs": [],
"source": [
"test[0]"
]
},
{
"cell_type": "markdown",
"id": "b85d86d0-b6b1-49cd-9ef0-9214c1267199",
"metadata": {},
"source": [
"## 🛠️ Step 1 : Data Preparation"
]
},
{
"cell_type": "markdown",
"id": "d3ba760d-467a-4cd9-8d3f-e6ce84273610",
"metadata": {},
"source": [
"To fine-tune GPT-4o-mini, OpenAI requires training data in **.jsonl format**. \n",
"\n",
"`make_jsonl` converts our chat data :\n",
"\n",
"from \n",
"\n",
"[\n",
" {\"role\": \"system\", \"content\": \"You estimate prices of items. Reply only with the price, no explanation\"},\n",
" {\"role\": \"user\", \"content\": \"How much is this laptop worth?\"},\n",
" {\"role\": \"assistant\", \"content\": \"Price is $999.00\"}\n",
"]\n",
"\n",
"into the .jsonl format \n",
"\n",
"{\"messages\": [{\"role\": \"system\", \"content\": \"You estimate prices of items. Reply only with the price, no explanation\"}, {\"role\": \"user\", \"content\": \"How much is this laptop worth?\"}, {\"role\": \"assistant\", \"content\": \"Price is $999.00\"}]}\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ec254755-67f6-4676-b67f-c1376ea00124",
"metadata": {},
"outputs": [],
"source": [
"# Mask the price in the test item\n",
"def mask_price_value(text):\n",
" return re.sub(r\"(\\n\\nPrice is \\$).*\", r\"\\1\", text)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e5e51957-b0ec-49f9-ae70-74771a101756",
"metadata": {},
"outputs": [],
"source": [
"def messages_for(datapoint):\n",
" system_message = \"You estimate prices of items. Reply only with the price, no explanation\"\n",
" user_prompt = mask_price_value(datapoint[\"text\"]).replace(\" to the nearest dollar\", \"\").replace(\"\\n\\nPrice is $\",\"\")\n",
" assistant_response = f\"Price is ${datapoint['price']:.2f}\"\n",
" return [\n",
" {\"role\": \"system\", \"content\": system_message},\n",
" {\"role\": \"user\", \"content\": user_prompt},\n",
" {\"role\": \"assistant\", \"content\": assistant_response}\n",
" ]\n",
"\n",
"messages_for(train[0])"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "03583d32-b0f2-44c0-820e-62c8e7e48247",
"metadata": {},
"outputs": [],
"source": [
"def make_jsonl(datapoints):\n",
" result = \"\"\n",
" for datapoint in datapoints:\n",
" messages = messages_for(datapoint)\n",
" messages_str = json.dumps(messages, ensure_ascii=False)\n",
" result += '{\"messages\": ' + messages_str + '}\\n'\n",
" return result.strip()\n",
"\n",
"make_jsonl(train.select([0]))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "36c9cf60-0bcb-44cb-8df6-ff2ed4110cd2",
"metadata": {},
"outputs": [],
"source": [
"ft_train = train.select(range(100))\n",
"ft_validation = train.select(range(100, 150))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "494eaecd-ae5d-4396-b694-6faf88fb7fd6",
"metadata": {},
"outputs": [],
"source": [
"# Convert the items into jsonl and write them to a file\n",
"\n",
"def write_jsonl(datapoints, filename):\n",
" with open(filename, \"w\", encoding=\"utf-8\") as f:\n",
" jsonl = make_jsonl(datapoints)\n",
" f.write(jsonl)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ae42986d-ab02-4a11-aa0c-ede9c63ec7a2",
"metadata": {},
"outputs": [],
"source": [
"write_jsonl(ft_train, \"data/ft_train.jsonl\")\n",
"write_jsonl(ft_validation, \"data/ft_val.jsonl\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b9bed22d-73ad-4820-a983-cbdccd8dbbc8",
"metadata": {},
"outputs": [],
"source": [
"with open(\"data/ft_train.jsonl\", \"rb\") as f:\n",
" train_file = openai.files.create(file=f, purpose=\"fine-tune\")\n",
"with open(\"data/ft_val.jsonl\", \"rb\") as f:\n",
" validation_file = openai.files.create(file=f, purpose=\"fine-tune\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1e6c6ce8-6600-4068-9ec5-32c6428ce9ea",
"metadata": {},
"outputs": [],
"source": [
"train_file"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "26943fad-4301-4bb4-97e8-be52a9743322",
"metadata": {},
"outputs": [],
"source": [
"validation_file"
]
},
{
"cell_type": "markdown",
"id": "edb0a3ec-1607-4c5b-ab06-852f951cae8b",
"metadata": {},
"source": [
"## 🚀 Step 2: Run Fine-Tuning & Monitor with wandb\n",
"We will use https://wandb.ai to monitor the training runs\n",
"\n",
"1- Create an API key in wandb\n",
"\n",
"2- Add this key in OpenAI dashboard https://platform.openai.com/account/organization"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "59f552fe-5e80-4742-94a8-5492556a6543",
"metadata": {},
"outputs": [],
"source": [
"wandb_integration = {\"type\": \"wandb\", \"wandb\": {\"project\": \"gpt-pricer\"}}"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "144088d7-7c30-439a-9282-1e6096c181ea",
"metadata": {},
"outputs": [],
"source": [
"# Run the fine tuning\n",
"\n",
"openai.fine_tuning.jobs.create(\n",
" training_file=train_file.id,\n",
" validation_file=validation_file.id,\n",
" model=\"gpt-4o-mini-2024-07-18\",\n",
" seed=42,\n",
" hyperparameters={\"n_epochs\": 1},\n",
" integrations = [wandb_integration],\n",
" suffix=\"pricer\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "330e75f5-0208-4c74-8dd3-07bc06047b2e",
"metadata": {},
"outputs": [],
"source": [
"job_id = openai.fine_tuning.jobs.list(limit=1).data[0].id\n",
"job_id\n",
"\n",
"# Then check your wandb dashboard to view the run of this job ID"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4a92dac5-e6d8-439c-b55e-507becb37a6c",
"metadata": {},
"outputs": [],
"source": [
"# Use this command to track the fine-tuning progress here\n",
"\n",
"openai.fine_tuning.jobs.list_events(fine_tuning_job_id=job_id, limit=2).data"
]
},
{
"cell_type": "markdown",
"id": "b6b65677-06b2-47d3-b0e6-51210a3d832b",
"metadata": {},
"source": [
"# 📧 Youll get an email once fine-tuning is complete. ☕ You can take a break until then. ▶️ Once you receive it, run the cells below to continue."
]
},
{
"cell_type": "markdown",
"id": "0a7af4be-0b55-4654-af7a-f47485babc52",
"metadata": {},
"source": [
"## Step 3 : Test the fine tuned model"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c8497eb8-49ee-4a05-9e51-fc1b4b2b41d4",
"metadata": {},
"outputs": [],
"source": [
"ft_model_name = openai.fine_tuning.jobs.retrieve(job_id).fine_tuned_model\n",
"ft_model_name"
]
},
{
"attachments": {
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"
}
},
"cell_type": "markdown",
"id": "12bed33f-be31-4d7c-8651-3f267c529304",
"metadata": {},
"source": [
"You can find the entire fine-tuning process in the **Fine-tuning** dashboard on OpenAI.\n",
"\n",
"![Fine-tuning Process](https://github.com/lisekarimi/lexo/blob/main/assets/09_ft_gpt4omini.png?raw=true)\n",
"\n",
"\n",
"and on wandb: \n",
"\n",
"![image.png](attachment:image.png)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ac6a89ef-f982-457a-bad7-bd84b6132a07",
"metadata": {},
"outputs": [],
"source": [
"# Build LLM messages\n",
"def build_messages(datapoint):\n",
" system_message = \"You estimate prices of items. Reply only with the price, no explanation\"\n",
" user_prompt = mask_price_value(datapoint[\"text\"]).replace(\" to the nearest dollar\", \"\").replace(\"\\n\\nPrice is $\",\"\")\n",
" return [\n",
" {\"role\": \"system\", \"content\": system_message},\n",
" {\"role\": \"user\", \"content\": user_prompt},\n",
" {\"role\": \"assistant\", \"content\": \"Price is $\"}\n",
" ]\n",
"\n",
"def get_price(s):\n",
" s = s.replace('$','').replace(',','')\n",
" match = re.search(r\"[-+]?\\d*\\.\\d+|\\d+\", s)\n",
" return float(match.group()) if match else 0\n",
"\n",
"def gpt_ft(datapoint):\n",
" response = openai.chat.completions.create(\n",
" model=ft_model_name,\n",
" messages=build_messages(datapoint),\n",
" seed=42,\n",
" max_tokens=7\n",
" )\n",
" reply = response.choices[0].message.content\n",
" return get_price(reply)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "93a93017-458c-4769-b81c-b2dad2af7552",
"metadata": {},
"outputs": [],
"source": [
"print(test[0][\"price\"])\n",
"print(gpt_ft(test[0]))"
]
},
{
"cell_type": "markdown",
"id": "87a5ad10-ed60-4533-ad61-225ceb847e6c",
"metadata": {},
"source": [
"🔔 **Reminder:** \n",
"- In **Part 2**, GPT-4o Mini (zero-shot) scored: \n",
" Avg. Error: ~$99 | RMSLE: 0.75 | Accuracy: 44.8% \n",
"\n",
"- In **Part 3**, with **RAG**, performance improved to: \n",
" Avg. Error: ~$59.54 | RMSLE: 0.42 | Accuracy: 69.2%\n",
"\n",
"🧪 **Now its time to see** if fine-tuning can push GPT-4o Mini even further and outperform both baselines."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0adf1500-9cc7-491a-9ea6-88932af85dca",
"metadata": {},
"outputs": [],
"source": [
"import helpers.testing\n",
"importlib.reload(helpers.testing)\n",
"\n",
"from helpers.testing import Tester # noqa: E402\n",
"\n",
"tester = Tester(gpt_ft, test)\n",
"tester.run()"
]
},
{
"attachments": {
"image.png": {
"image/png": 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"
}
},
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"id": "5487da30-e1a8-4db5-bf17-80bc4f109524",
"metadata": {},
"source": [
"![image.png](attachment:image.png)\n",
"\n",
"**Fine-tuning GPT-4o Mini led to worse performance than both its zero-shot and RAG-enhanced versions.**\n",
"\n",
"⚠️ When Fine-Tuning Isnt Needed:\n",
"- For tasks like price prediction, GPT-4o performs well with prompting alone — thanks to strong pretraining and generalization.\n",
"- 💡 Fine-tuning isnt always better. Use it when prompting fails — not by default.\n",
"\n",
"✅ **When Fine-Tuning Is Worth It (based on OpenAIs own guidelines)**\n",
"- Custom tone/style e.g., mimicking a brand voice or writing like a specific author\n",
"- More consistent output e.g., always following a strict format\n",
"- Fix prompt failures e.g., when multi-step instructions get ignored\n",
"- Handle edge cases e.g., rare product types or weird inputs\n",
"- Teach new tasks e.g., estimating prices in a custom format no model has seen before\n",
"\n",
"---\n",
"\n",
"Now that weve explored both frontier closed-source models and traditional ML, its time to turn to open-source.\n",
"\n",
"🚀 **Next up: Fine-tuned LLaMA 3.1 8B (quantized)** — can it beat its base version, outperform GPT-4o Mini, or even challenge the big players?\n",
"\n",
"🔍 Lets find out in the [next notebook](https://github.com/lisekarimi/lexo/blob/main/09_part5_llama31_8b_quant.ipynb)"
]
}
],
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"display_name": ".venv",
"language": "python",
"name": "python3"
},
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"name": "ipython",
"version": 3
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"file_extension": ".py",
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"name": "python",
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