{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "Jwhn4SLRdz0p"
},
"source": [
"# Refine txt2img Prompts with Human Feedback\n",
"\n",
"\n",
"[](https://colab.research.google.com/github/CarperAI/trlx/blob/main/examples/notebooks/trlx_simulacra.ipynb)\n",
"\n",
"\n",
"#### Optimize a gpt2-based txt2img prompt generator to produce aesthetic prompts using a dataset of (prompt, rating) pairs https://github.com/JD-P/simulacra-aesthetic-captions\n",
"\n",
"Notebook by [@smellslikeml](https://github.com/smellslikeml)\n",
"\n",
"---"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "eKuuBx0teMb7"
},
"source": [
"Execute the cells below to install [TRLX](https://github.com/CarperAI/trlx) for a colab environment."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"id": "SY2PWyE7RFrV",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "390a21c5-5eef-4718-bfce-4c4524c3436b"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
"Collecting git+https://github.com/CarperAI/trlx\n",
" Cloning https://github.com/CarperAI/trlx to /tmp/pip-req-build-rx6dz42z\n",
" Running command git clone --filter=blob:none --quiet https://github.com/CarperAI/trlx /tmp/pip-req-build-rx6dz42z\n",
" Resolved https://github.com/CarperAI/trlx to commit a66a7da90d3b9d4b74cf968139896d6797a17286\n",
" Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
" Installing backend dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
"Collecting ray@ https://ray-ci-artifact-branch-public.s3.amazonaws.com/42bb0357a6fb13e4994789c824f3623f32869ad8/tmp/artifacts/.whl/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl\n",
" Using cached https://ray-ci-artifact-branch-public.s3.amazonaws.com/42bb0357a6fb13e4994789c824f3623f32869ad8/tmp/artifacts/.whl/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl (58.5 MB)\n",
"Requirement already satisfied: wandb>=0.13.5 in /usr/local/lib/python3.9/dist-packages (from trlx==0.6.0) (0.14.2)\n",
"Requirement already satisfied: accelerate>=0.17.1 in /usr/local/lib/python3.9/dist-packages (from trlx==0.6.0) (0.18.0)\n",
"Requirement already satisfied: numpy>=1.23.2 in /usr/local/lib/python3.9/dist-packages (from trlx==0.6.0) (1.24.2)\n",
"Requirement already satisfied: tabulate>=0.9.0 in /usr/local/lib/python3.9/dist-packages (from trlx==0.6.0) (0.9.0)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.9/dist-packages (from trlx==0.6.0) (3.0)\n",
"Requirement already satisfied: torchtyping in /usr/local/lib/python3.9/dist-packages (from trlx==0.6.0) (0.1.4)\n",
"Requirement already satisfied: tqdm in /usr/local/lib/python3.9/dist-packages (from trlx==0.6.0) (4.65.0)\n",
"Requirement already satisfied: deepspeed>=0.8.1 in /usr/local/lib/python3.9/dist-packages (from trlx==0.6.0) (0.8.3)\n",
"Requirement already satisfied: einops>=0.4.1 in /usr/local/lib/python3.9/dist-packages (from trlx==0.6.0) (0.6.0)\n",
"Requirement already satisfied: cattrs>=22.2.0 in /usr/local/lib/python3.9/dist-packages (from trlx==0.6.0) (22.2.0)\n",
"Requirement already satisfied: rich in /usr/local/lib/python3.9/dist-packages (from trlx==0.6.0) (13.3.3)\n",
"Requirement already satisfied: tritonclient in /usr/local/lib/python3.9/dist-packages (from trlx==0.6.0) (2.32.0)\n",
"Requirement already satisfied: attrs>=22.1.0 in /usr/local/lib/python3.9/dist-packages (from trlx==0.6.0) (22.2.0)\n",
"Requirement already satisfied: transformers>=4.21.2 in /usr/local/lib/python3.9/dist-packages (from trlx==0.6.0) (4.27.4)\n",
"Requirement already satisfied: datasets in /usr/local/lib/python3.9/dist-packages (from trlx==0.6.0) (2.11.0)\n",
"Requirement already satisfied: psutil in /usr/local/lib/python3.9/dist-packages (from accelerate>=0.17.1->trlx==0.6.0) (5.9.4)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.9/dist-packages (from accelerate>=0.17.1->trlx==0.6.0) (23.0)\n",
"Requirement already satisfied: pyyaml in /usr/local/lib/python3.9/dist-packages (from accelerate>=0.17.1->trlx==0.6.0) (6.0)\n",
"Requirement already satisfied: torch>=1.4.0 in /usr/local/lib/python3.9/dist-packages (from accelerate>=0.17.1->trlx==0.6.0) (2.0.0+cu118)\n",
"Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.9/dist-packages (from cattrs>=22.2.0->trlx==0.6.0) (1.1.1)\n",
"Requirement already satisfied: pydantic in /usr/local/lib/python3.9/dist-packages (from deepspeed>=0.8.1->trlx==0.6.0) (1.10.7)\n",
"Requirement already satisfied: ninja in /usr/local/lib/python3.9/dist-packages (from deepspeed>=0.8.1->trlx==0.6.0) (1.11.1)\n",
"Requirement already satisfied: hjson in /usr/local/lib/python3.9/dist-packages (from deepspeed>=0.8.1->trlx==0.6.0) (3.1.0)\n",
"Requirement already satisfied: py-cpuinfo in /usr/local/lib/python3.9/dist-packages (from deepspeed>=0.8.1->trlx==0.6.0) (9.0.0)\n",
"Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in /usr/local/lib/python3.9/dist-packages (from transformers>=4.21.2->trlx==0.6.0) (0.13.3)\n",
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.9/dist-packages (from transformers>=4.21.2->trlx==0.6.0) (2022.10.31)\n",
"Requirement already satisfied: huggingface-hub<1.0,>=0.11.0 in /usr/local/lib/python3.9/dist-packages (from transformers>=4.21.2->trlx==0.6.0) (0.13.4)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.9/dist-packages (from transformers>=4.21.2->trlx==0.6.0) (3.10.7)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.9/dist-packages (from transformers>=4.21.2->trlx==0.6.0) (2.27.1)\n",
"Requirement already satisfied: docker-pycreds>=0.4.0 in /usr/local/lib/python3.9/dist-packages (from wandb>=0.13.5->trlx==0.6.0) (0.4.0)\n",
"Requirement already satisfied: pathtools in /usr/local/lib/python3.9/dist-packages (from wandb>=0.13.5->trlx==0.6.0) (0.1.2)\n",
"Requirement already satisfied: sentry-sdk>=1.0.0 in /usr/local/lib/python3.9/dist-packages (from wandb>=0.13.5->trlx==0.6.0) (1.19.1)\n",
"Requirement already satisfied: setproctitle in /usr/local/lib/python3.9/dist-packages (from wandb>=0.13.5->trlx==0.6.0) (1.3.2)\n",
"Requirement already satisfied: Click!=8.0.0,>=7.0 in /usr/local/lib/python3.9/dist-packages (from wandb>=0.13.5->trlx==0.6.0) (8.1.3)\n",
"Requirement already satisfied: setuptools in /usr/local/lib/python3.9/dist-packages (from wandb>=0.13.5->trlx==0.6.0) (67.6.1)\n",
"Requirement already satisfied: appdirs>=1.4.3 in /usr/local/lib/python3.9/dist-packages (from wandb>=0.13.5->trlx==0.6.0) (1.4.4)\n",
"Requirement already satisfied: GitPython!=3.1.29,>=1.0.0 in /usr/local/lib/python3.9/dist-packages (from wandb>=0.13.5->trlx==0.6.0) (3.1.31)\n",
"Requirement already satisfied: typing-extensions in /usr/local/lib/python3.9/dist-packages (from wandb>=0.13.5->trlx==0.6.0) (4.5.0)\n",
"Requirement already satisfied: protobuf!=4.21.0,<5,>=3.15.0 in /usr/local/lib/python3.9/dist-packages (from wandb>=0.13.5->trlx==0.6.0) (3.20.3)\n",
"Requirement already satisfied: aiohttp in /usr/local/lib/python3.9/dist-packages (from datasets->trlx==0.6.0) (3.8.4)\n",
"Requirement already satisfied: responses<0.19 in /usr/local/lib/python3.9/dist-packages (from datasets->trlx==0.6.0) (0.18.0)\n",
"Requirement already satisfied: xxhash in /usr/local/lib/python3.9/dist-packages (from datasets->trlx==0.6.0) (3.2.0)\n",
"Requirement already satisfied: multiprocess in /usr/local/lib/python3.9/dist-packages (from datasets->trlx==0.6.0) (0.70.14)\n",
"Requirement already satisfied: fsspec[http]>=2021.11.1 in /usr/local/lib/python3.9/dist-packages (from datasets->trlx==0.6.0) (2023.3.0)\n",
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"Requirement already satisfied: pandas in /usr/local/lib/python3.9/dist-packages (from datasets->trlx==0.6.0) (1.4.4)\n",
"Requirement already satisfied: aiosignal in /usr/local/lib/python3.9/dist-packages (from ray@ https://ray-ci-artifact-branch-public.s3.amazonaws.com/42bb0357a6fb13e4994789c824f3623f32869ad8/tmp/artifacts/.whl/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl->trlx==0.6.0) (1.3.1)\n",
"Requirement already satisfied: virtualenv>=20.0.24 in /usr/local/lib/python3.9/dist-packages (from ray@ https://ray-ci-artifact-branch-public.s3.amazonaws.com/42bb0357a6fb13e4994789c824f3623f32869ad8/tmp/artifacts/.whl/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl->trlx==0.6.0) (20.21.0)\n",
"Requirement already satisfied: frozenlist in /usr/local/lib/python3.9/dist-packages (from ray@ https://ray-ci-artifact-branch-public.s3.amazonaws.com/42bb0357a6fb13e4994789c824f3623f32869ad8/tmp/artifacts/.whl/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl->trlx==0.6.0) (1.3.3)\n",
"Requirement already satisfied: grpcio>=1.32.0 in /usr/local/lib/python3.9/dist-packages (from ray@ https://ray-ci-artifact-branch-public.s3.amazonaws.com/42bb0357a6fb13e4994789c824f3623f32869ad8/tmp/artifacts/.whl/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl->trlx==0.6.0) (1.53.0)\n",
"Requirement already satisfied: jsonschema in /usr/local/lib/python3.9/dist-packages (from ray@ https://ray-ci-artifact-branch-public.s3.amazonaws.com/42bb0357a6fb13e4994789c824f3623f32869ad8/tmp/artifacts/.whl/ray-3.0.0.dev0-cp39-cp39-manylinux2014_x86_64.whl->trlx==0.6.0) (4.3.3)\n",
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"Requirement already satisfied: markdown-it-py<3.0.0,>=2.2.0 in /usr/local/lib/python3.9/dist-packages (from rich->trlx==0.6.0) (2.2.0)\n",
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"Requirement already satisfied: six>=1.4.0 in /usr/local/lib/python3.9/dist-packages (from docker-pycreds>=0.4.0->wandb>=0.13.5->trlx==0.6.0) (1.16.0)\n",
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"Requirement already satisfied: cmake in /usr/local/lib/python3.9/dist-packages (from triton==2.0.0->torch>=1.4.0->accelerate>=0.17.1->trlx==0.6.0) (3.25.2)\n",
"Requirement already satisfied: importlib-metadata>=3.6 in /usr/local/lib/python3.9/dist-packages (from typeguard>=2.11.1->torchtyping->trlx==0.6.0) (6.1.0)\n",
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"Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.9/dist-packages (from pandas->datasets->trlx==0.6.0) (2.8.2)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.9/dist-packages (from pandas->datasets->trlx==0.6.0) (2022.7.1)\n",
"Requirement already satisfied: smmap<6,>=3.0.1 in /usr/local/lib/python3.9/dist-packages (from gitdb<5,>=4.0.1->GitPython!=3.1.29,>=1.0.0->wandb>=0.13.5->trlx==0.6.0) (5.0.0)\n",
"Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.9/dist-packages (from importlib-metadata>=3.6->typeguard>=2.11.1->torchtyping->trlx==0.6.0) (3.15.0)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.9/dist-packages (from jinja2->torch>=1.4.0->accelerate>=0.17.1->trlx==0.6.0) (2.1.2)\n",
"Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.9/dist-packages (from sympy->torch>=1.4.0->accelerate>=0.17.1->trlx==0.6.0) (1.3.0)\n"
]
}
],
"source": [
"!pip install git+https://github.com/CarperAI/trlx"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"id": "_B3AcQaSSpVI"
},
"outputs": [],
"source": [
"import os\n",
"import sqlite3\n",
"from urllib.request import urlretrieve\n",
"\n",
"import trlx\n",
"\n",
"url = \"https://raw.githubusercontent.com/JD-P/simulacra-aesthetic-captions/main/sac_public_2022_06_29.sqlite\"\n",
"dbpath = \"sac_public_2022_06_29.sqlite\"\n",
"\n",
"if not os.path.exists(dbpath):\n",
" print(f\"fetching {dbpath}\")\n",
" urlretrieve(url, dbpath)\n",
"\n",
"conn = sqlite3.connect(dbpath)\n",
"c = conn.cursor()\n",
"c.execute(\n",
" \"SELECT prompt, rating FROM ratings \"\n",
" \"JOIN images ON images.id=ratings.iid \"\n",
" \"JOIN generations ON images.gid=generations.id \"\n",
" \"WHERE rating IS NOT NULL;\"\n",
")\n",
"\n",
"prompts, ratings = tuple(map(list, zip(*c.fetchall())))"
]
},
{
"cell_type": "code",
"source": [
"from trlx.data.default_configs import default_ilql_config\n",
"config = default_ilql_config().evolve(train=dict(batch_size=32, total_steps=300))"
],
"metadata": {
"id": "c16GFhDTPcme"
},
"execution_count": 3,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "veT8Jxegeg_z"
},
"source": [
"Trlx uses [wandb](https://wandb.ai/) to log results. Make sure to set up an account and use your token to authenticate when prompted after executing the cell below."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"id": "UC_NT0_udizq",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000,
"referenced_widgets": [
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"c7f8fd09641b4278980f95f6fa3c399e",
"6755cd50bc3b4cdcb4f870e5d1f4fec3",
"c452050713464fcb848ad4e46daca06a",
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"┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
"│ │ Bolt-Rising Energy Generators (BGHGs) to replace nuclear waste │\n",
"│ │ │\n",
"│ │ By Naomi Oren │\n",
"│ │ │\n",
"│ │ 13 December 2018. Direct, long-term, investment-generating investment in nuclear battery battery │\n",
"│ │ technology by Western-trained Russian scientists to replace nuclear waste to │\n",
"├────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────┤\n",
"│ │ │\n",
"│ │ By Andrew O'Brien │\n",
"│ │ │\n",
"│ │ Alex Ovechkin scored four times to make it four to four with one goal, one assist and four shots to go │\n",
"│ │ to keep the Russian to four points over four games to head to North America to host the Western │\n",
"│ │ Conference champions. │\n",
"│ │ │\n",
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"│ │ │\n",
"│ │ Photo │\n",
"│ │ │\n",
"│ │ The question to answer to is whether to make the necessary changes to North Carolina Republican │\n",
"│ │ leaders to keep North Carolina out of the Electoral College, despite Mr. Trump's enthusiasm over the │\n",
"│ │ Republican primary, by allowing four times as many white voters to make the Electoral College a │\n",
"└────────┴────────────────────────────────────────────────────────────────────────────────────────────────────────┘\n"
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"┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
"┃<span style=\"font-weight: bold\"> prompt </span>┃<span style=\"font-weight: bold\"> output </span>┃\n",
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"│ │ Bolt-Rising Energy Generators (BGHGs) to replace nuclear waste │\n",
"│ │ │\n",
"│ │ By Naomi Oren │\n",
"│ │ │\n",
"│ │ 13 December 2018. Direct, long-term, investment-generating investment in nuclear battery battery │\n",
"│ │ technology by Western-trained Russian scientists to replace nuclear waste to │\n",
"├────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────┤\n",
"│ │ │\n",
"│ │ By Andrew O'Brien │\n",
"│ │ │\n",
"│ │ Alex Ovechkin scored four times to make it four to four with one goal, one assist and four shots to go │\n",
"│ │ to keep the Russian to four points over four games to head to North America to host the Western │\n",
"│ │ Conference champions. │\n",
"│ │ │\n",
"├────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────┤\n",
"│ │ │\n",
"│ │ Photo │\n",
"│ │ │\n",
"│ │ The question to answer to is whether to make the necessary changes to North Carolina Republican │\n",
"│ │ leaders to keep North Carolina out of the Electoral College, despite Mr. Trump's enthusiasm over the │\n",
"│ │ Republican primary, by allowing four times as many white voters to make the Electoral College a │\n",
"└────────┴────────────────────────────────────────────────────────────────────────────────────────────────────────┘\n",
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"┃\u001b[1m \u001b[0m\u001b[1mprompt\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1moutput \u001b[0m\u001b[1m \u001b[0m┃\n",
"┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
"│ │ Portrait of a man standing on the hill of mountains in the middle of his country │\n",
"├────────┼──────────────────────────────────────────────────────────────────────────────────┤\n",
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"┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
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"│ │ │\n",
"│ │ A beautiful sunset, with a beautiful sunset. Artstation │\n",
"├────────┼──────────────────────────────────────────────────────────────────────────────────┤\n",
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"│ │ A beautiful beautiful beautiful beautiful beautiful beautiful beautiful beautiful beautiful beautiful │\n",
"│ │ beautiful beautiful beautiful beautiful gorgeous beautiful beautiful beautiful beautiful beautiful │\n",
"│ │ beautiful beautiful beautiful beautiful happy sad sad sad sad sad sad sad sad sad sad sad sad sad sad │\n",
"│ │ sad sad sad sad sad sad sad sad sad sad sad sad sad sad sad sad │\n",
"├────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────┤\n",
"│ │ concept art A woman is surrounded by darkness, and as she looks on, a white light is shining in the │\n",
"│ │ air. │\n",
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"┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
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"│ │ A beautiful beautiful beautiful beautiful beautiful beautiful beautiful beautiful beautiful beautiful │\n",
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"│ │ beautiful beautiful beautiful beautiful happy sad sad sad sad sad sad sad sad sad sad sad sad sad sad │\n",
"│ │ sad sad sad sad sad sad sad sad sad sad sad sad sad sad sad sad │\n",
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"│ │ the style of John Steinbeck │\n",
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"┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
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"┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
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"\u001b[3m Evaluation #4 \u001b[0m\n",
"┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
"┃\u001b[1m \u001b[0m\u001b[1mprompt\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1moutput \u001b[0m\u001b[1m \u001b[0m┃\n",
"┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
"│ │ A photograph of a human being, with a white background, surrounded by a group of people. │\n",
"├────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────┤\n",
"│ │ A scene with a woman sitting on a chair, looking out of the window, looking around, with a feeling of │\n",
"│ │ mystery and hope. │\n",
"├────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────┤\n",
"│ │ concept art by yoshitaka amano style │\n",
"└────────┴────────────────────────────────────────────────────────────────────────────────────────────────────────┘\n"
],
"text/html": [
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-style: italic\"> Evaluation #4 </span>\n",
"┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
"┃<span style=\"font-weight: bold\"> prompt </span>┃<span style=\"font-weight: bold\"> output </span>┃\n",
"┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
"│ │ A photograph of a human being, with a white background, surrounded by a group of people. │\n",
"├────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────┤\n",
"│ │ A scene with a woman sitting on a chair, looking out of the window, looking around, with a feeling of │\n",
"│ │ mystery and hope. │\n",
"├────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────┤\n",
"│ │ concept art by yoshitaka amano style │\n",
"└────────┴────────────────────────────────────────────────────────────────────────────────────────────────────────┘\n",
"</pre>\n"
]
},
"metadata": {}
}
],
"source": [
"model = trlx.train(\n",
" \"gpt2\",\n",
" config=config,\n",
" samples=prompts,\n",
" rewards=ratings,\n",
" eval_prompts=[\"<|endoftext|>\"] * 64\n",
").model"
]
},
{
"cell_type": "code",
"source": [
"# Infer the trained model\n",
"from transformers import AutoTokenizer\n",
"tokenizer = AutoTokenizer.from_pretrained(\"gpt2\")\n",
"output = model.generate(**tokenizer([\"An astronaut riding a horse\"] * 16, return_tensors=\"pt\").to(0))\n",
"tokenizer.batch_decode(output, skip_special_tokens=True)"
],
"metadata": {
"id": "GQYlKt2MR6VI",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "335c103d-99f5-4cdd-abf0-38d19f9f5478"
},
"execution_count": 5,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"['An astronaut riding a horse, an astronaut on a mountain',\n",
" 'An astronaut riding a horse, beautiful portrait, detailed digital art by Artgerm, wlop, Anton Fadeev, rossdraws, Ruan Jia, John',\n",
" 'An astronaut riding a horse, character design, realism, artstation, in the style sci-fi illustration, inspired by anime.',\n",
" 'An astronaut riding a horse by oskar schlemmer',\n",
" 'An astronaut riding a horse through the night on the cover of her book',\n",
" 'An astronaut riding a horse, beautiful portrait, detailed digital art by Artgerm, wlop, Anton Fadeev, Ruan Jia, John Conrad Berkey and Robert',\n",
" 'An astronaut riding a horse, a space cowboy riding a rocket, an astronaut, an astronaut wearing a sports gear, and a beautiful portrait of an astronaut.',\n",
" 'An astronaut riding a horse, painting by Anton Fadeev, featured on artstation',\n",
" 'An astronaut riding a horse, 4K digital illustration by John Berkey and James Gurney with Peter Morhbacher, John Berkey, Ross Tran, Artstation,',\n",
" 'An astronaut riding a horse',\n",
" 'An astronaut riding a horse, digital illustration by Ross Tran',\n",
" 'An astronaut riding a horse in a spaceship in front of a mirror, oil on canvas portrait, detailed digital art by Artgerm, wlop, Anton Fadeev, ro',\n",
" 'An astronaut riding a horse in the sky, by Paul Lehr',\n",
" 'An astronaut riding a horse in space, cinematic portrait, 4K, Artstation, CGsociety, headshot, scifi fantasy sci-fi',\n",
" 'An astronaut riding a horse, the background colors being neon green in an ancient cave, detailed illustration, artstation, headshot, head head, pastel colors, pastel',\n",
" 'An astronaut riding a horse with sunglasses on in a futuristic park by Anato Finnstark, detailed digital art trending on artstation, trending on artstation']"
]
},
"metadata": {},
"execution_count": 5
}
]
},
{
"cell_type": "code",
"source": [
"# Save the model locally\n",
"model.save_pretrained(\"gpt2-simulacra\")"
],
"metadata": {
"id": "M6CmVLmHYSDp"
},
"execution_count": 6,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# To upload the model to Hugging Face, login first\n",
"from huggingface_hub import notebook_login\n",
"notebook_login()"
],
"metadata": {
"id": "ky6ZdutpemBF",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 359,
"referenced_widgets": [
"85fbce9f974b4f1a9dc43f07270f1f94",
"9c8d9e4cd71f410a92d6ee01de7233b9",
"7c097895ebd940d196808f7e8be1a31f",
"c8d49558d3fb4529b7e95e5bfdd07e0e",
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"e6c74c39798245a48534d0cb4682a096",
"5065cf8fbd6d42589d859198f6ba86ca"
]
},
"outputId": "d3a6b285-48b3-4901-98cd-3a8694359c92"
},
"execution_count": 7,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Token is valid.\n",
"Your token has been saved in your configured git credential helpers (store).\n",
"Your token has been saved to /root/.cache/huggingface/token\n",
"Login successful\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# Upload the model to <your_name>/gpt2-simulacra\n",
"from huggingface_hub import create_repo, HfApi\n",
"\n",
"repo_id = create_repo(\"gpt2-simulacra\", private=False, exist_ok=True).repo_id\n",
"HfApi().upload_folder(folder_path=\"gpt2-simulacra\", repo_id=repo_id)"
],
"metadata": {
"id": "pvQaCez9ZceW",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 99,
"referenced_widgets": [
"53a97f11ec2c4e06bab451d6361755b8",
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"554784f790cc473aab9ec958615981d4",
"f7eadf17772f4d7ab9dbd53d854b88d9",
"c1f7770071d1472aaf93690833ce9c91",
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},
"outputId": "a637e560-03a9-495a-c203-c7d0fe9508fc"
},
"execution_count": 9,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"pytorch_model.bin: 0%| | 0.00/1.77G [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "53a97f11ec2c4e06bab451d6361755b8"
}
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Upload 1 LFS files: 0%| | 0/1 [00:00<?, ?it/s]"
],
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"version_major": 2,
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},
"metadata": {}
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"'https://huggingface.co/reciprocate/gpt2-simulacra/tree/main/'"
],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
}
},
"metadata": {},
"execution_count": 9
}
]
},
{
"cell_type": "code",
"source": [
"# Load the same model now stored on Hugging Face\n",
"from trlx.models.modeling_ilql import AutoModelForCausalLMWithILQLHeads\n",
"hf_model = AutoModelForCausalLMWithILQLHeads.from_pretrained(repo_id)"
],
"metadata": {
"id": "4-N_hfNEe6vX",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 184,
"referenced_widgets": [
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},
"outputId": "01a8420d-9686-4f3c-9ca0-f424542858d1"
},
"execution_count": 10,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading (…)lve/main/config.json: 0%| | 0.00/907 [00:00<?, ?B/s]"
],
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"version_major": 2,
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},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading pytorch_model.bin: 0%| | 0.00/1.77G [00:00<?, ?B/s]"
],
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "bcd109700bd54c70a84e1ce19b1e5cce"
}
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"Some weights of the model checkpoint at reciprocate/gpt2-simulacra were not used when initializing GPT2LMHeadModel: ['ilql_heads.target_q_heads.1.2.bias', 'ilql_heads.q_heads.0.2.bias', 'ilql_heads.target_q_heads.0.2.bias', 'ilql_heads.q_heads.0.0.bias', 'ilql_heads.v_head.2.weight', 'ilql_heads.q_heads.1.0.bias', 'ilql_heads.v_head.0.bias', 'ilql_heads.target_q_heads.0.0.bias', 'ilql_heads.target_q_heads.1.0.bias', 'ilql_heads.v_head.0.weight', 'ilql_heads.v_head.2.bias', 'ilql_heads.q_heads.0.2.weight', 'ilql_heads.target_q_heads.1.2.weight', 'ilql_heads.q_heads.1.2.weight', 'ilql_heads.target_q_heads.0.0.weight', 'ilql_heads.target_q_heads.1.0.weight', 'ilql_heads.q_heads.0.0.weight', 'ilql_heads.q_heads.1.2.bias', 'ilql_heads.target_q_heads.0.2.weight', 'ilql_heads.q_heads.1.0.weight']\n",
"- This IS expected if you are initializing GPT2LMHeadModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
"- This IS NOT expected if you are initializing GPT2LMHeadModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"Downloading (…)neration_config.json: 0%| | 0.00/119 [00:00<?, ?B/s]"
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],
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