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{
"cells": [
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"import openai\n",
"from openai import OpenAI\n",
"import os"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"client = OpenAI(api_key=None)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"BASE_MODEL = \"gpt-4o-2024-08-06\"\n",
"\n",
"INPUT_TRAIN = \"chatgpt-train-8192.jsonl\"\n",
"INPUT_TEST = \"chatgpt-test-8192.jsonl\"\n",
"\n",
"assert os.path.isfile(INPUT_TEST)\n",
"assert os.path.isfile(INPUT_TRAIN)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"train_file = client.files.create(\n",
" file=open(INPUT_TRAIN, \"rb\"),\n",
" purpose=\"fine-tune\"\n",
")\n",
"\n",
"test_file = client.files.create(\n",
" file=open(INPUT_TEST, \"rb\"),\n",
" purpose=\"fine-tune\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"FineTuningJob(id='ftjob-gmBbrQUbH7ebPO9eapimGI0T', created_at=1728612535, error=Error(code=None, message=None, param=None), fine_tuned_model=None, finished_at=None, hyperparameters=Hyperparameters(n_epochs='auto', batch_size='auto', learning_rate_multiplier='auto'), model='gpt-4o-2024-08-06', object='fine_tuning.job', organization_id='org-uw3iag65cO1uuHFelRfNqH99', result_files=[], seed=2060928557, status='validating_files', trained_tokens=None, training_file='file-BO3hthNeSTuawThRSDeDUTxh', validation_file='file-4C0xDKTAfiL8EqqMIMfYQLde', estimated_finish=None, integrations=[], user_provided_suffix=None)"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"client.fine_tuning.jobs.create(\n",
" training_file=train_file.id,\n",
" validation_file=test_file.id,\n",
" model=BASE_MODEL\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "metricsubs-chunktranslate",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.0"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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