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wassname
2024-09-30 12:56:06 +00:00
parent 5a05456c93
commit 53af87561f
4 changed files with 341 additions and 37 deletions
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@@ -11,6 +11,7 @@ sft:
cp accelerate_configs/deepspeed_zero3.yaml alignment-handbook/recipes/accelerate_configs/deepspeed_zero3b.yaml
cp training_configs/llama-3-2-1b-base-sft.yaml alignment-handbook/recipes/llama-3-2-1b-base-sft.yaml
# .venv/src/alignment-handbook/
cd alignment-handbook
ACCELERATE_LOG_LEVEL=info accelerate launch --config_file recipes/accelerate_configs/deepspeed_zero3b.yaml --num_processes=1 scripts/run_sft.py recipes/llama-3-2-1b-base-sft.yaml
# ACCELERATE_LOG_LEVEL=info accelerate launch --config_file ../accelerate_configs/deepspeed_zero3.yaml --num_processes=1 scripts/run_sft.py ../training_configs/llama-3-2-1b-base-sft.yaml
@@ -32,6 +33,7 @@ install:
mamba install pytorch torchvision torchaudio pytorch-cuda=12.4 -c pytorch -c nvidia
# install alignment handbook
# or use .venv/src/alignment-handbook/
git clone https://github.com/huggingface/alignment-handbook.git
cd ./alignment-handbook/
python -m pip install .
poetry.lock
Generated
+335 -34
View File
@@ -394,6 +394,20 @@ files = [
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]
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name = "click"
version = "8.1.7"
description = "Composable command line interface toolkit"
optional = false
python-versions = ">=3.7"
files = [
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[package.dependencies]
colorama = {version = "*", markers = "platform_system == \"Windows\""}
[[package]]
name = "colorama"
version = "0.4.6"
@@ -499,6 +513,20 @@ files = [
graph = ["objgraph (>=1.7.2)"]
profile = ["gprof2dot (>=2022.7.29)"]
[[package]]
name = "docker-pycreds"
version = "0.4.0"
description = "Python bindings for the docker credentials store API"
optional = false
python-versions = "*"
files = [
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six = ">=1.4.0"
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name = "docstring-parser"
version = "0.16"
@@ -715,6 +743,38 @@ test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,
test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
tqdm = ["tqdm"]
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name = "gitdb"
version = "4.0.11"
description = "Git Object Database"
optional = false
python-versions = ">=3.7"
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name = "gitpython"
version = "3.1.43"
description = "GitPython is a Python library used to interact with Git repositories"
optional = false
python-versions = ">=3.7"
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[[package]]
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@@ -1242,6 +1302,51 @@ files = [
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[[package]]
name = "numpy"
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description = "Fundamental package for array computing in Python"
optional = false
python-versions = ">=3.9"
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name = "numpy"
version = "2.1.1"
@@ -1523,9 +1628,9 @@ files = [
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numpy = [
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]
python-dateutil = ">=2.8.2"
pytz = ">=2020.1"
@@ -1585,6 +1690,22 @@ docs-specific = ["black", "hf-doc-builder"]
quality = ["black", "hf-doc-builder", "ruff (>=0.6.1,<0.7.0)"]
test = ["black", "datasets", "diffusers (<0.21.0)", "hf-doc-builder", "parameterized", "pytest", "pytest-cov", "pytest-xdist", "ruff (>=0.6.1,<0.7.0)", "scipy"]
[[package]]
name = "platformdirs"
version = "4.3.6"
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
optional = false
python-versions = ">=3.8"
files = [
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test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-cov (>=5)", "pytest-mock (>=3.14)"]
type = ["mypy (>=1.11.2)"]
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name = "pluggy"
version = "1.5.0"
@@ -1737,8 +1858,8 @@ files = [
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pydantic-core = "2.23.4"
typing-extensions = [
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{version = ">=4.12.2", markers = "python_version >= \"3.13\""},
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@@ -2373,6 +2494,157 @@ files = [
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version = "2.14.0"
description = "Python client for Sentry (https://sentry.io)"
optional = false
python-versions = ">=3.6"
files = [
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arq = ["arq (>=0.23)"]
asyncpg = ["asyncpg (>=0.23)"]
beam = ["apache-beam (>=2.12)"]
bottle = ["bottle (>=0.12.13)"]
celery = ["celery (>=3)"]
celery-redbeat = ["celery-redbeat (>=2)"]
chalice = ["chalice (>=1.16.0)"]
clickhouse-driver = ["clickhouse-driver (>=0.2.0)"]
django = ["django (>=1.8)"]
falcon = ["falcon (>=1.4)"]
fastapi = ["fastapi (>=0.79.0)"]
flask = ["blinker (>=1.1)", "flask (>=0.11)", "markupsafe"]
grpcio = ["grpcio (>=1.21.1)", "protobuf (>=3.8.0)"]
httpx = ["httpx (>=0.16.0)"]
huey = ["huey (>=2)"]
huggingface-hub = ["huggingface-hub (>=0.22)"]
langchain = ["langchain (>=0.0.210)"]
litestar = ["litestar (>=2.0.0)"]
loguru = ["loguru (>=0.5)"]
openai = ["openai (>=1.0.0)", "tiktoken (>=0.3.0)"]
opentelemetry = ["opentelemetry-distro (>=0.35b0)"]
opentelemetry-experimental = ["opentelemetry-distro"]
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diffusers = ["diffusers (>=0.18.0)"]
liger = ["liger-kernel-nightly (==0.1.1.dev20240828063745)"]
llm-judge = ["huggingface-hub (>=0.22.2)", "llm-blender (>=0.0.2)", "openai (>=1.23.2)"]
peft = ["peft (>=0.8.0)"]
quantization = ["bitsandbytes (<=0.41.1)"]
test = ["Pillow", "llm-blender (>=0.0.2)", "parameterized", "peft (>=0.8.0)", "pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "scikit-learn"]
[[package]]
name = "trl"
version = "0.11.1"
@@ -2800,7 +3053,10 @@ files = [
[package.dependencies]
accelerate = "*"
datasets = "*"
numpy = {version = ">=1.18.2", markers = "platform_system != \"Windows\""}
numpy = [
{version = ">=1.18.2", markers = "platform_system != \"Windows\""},
{version = "<2", markers = "platform_system == \"Windows\""},
]
torch = ">=1.4.0"
transformers = ">=4.40.0"
tyro = ">=0.5.11"
@@ -2876,6 +3132,51 @@ h2 = ["h2 (>=4,<5)"]
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "wandb"
version = "0.18.2"
description = "A CLI and library for interacting with the Weights & Biases API."
optional = false
python-versions = ">=3.7"
files = [
{file = "wandb-0.18.2-py3-none-any.whl", hash = "sha256:45eee0a41db776390de97c06dc1d72256acf9ffa63f1be46343670383c9235f7"},
{file = "wandb-0.18.2-py3-none-macosx_10_13_x86_64.whl", hash = "sha256:9aa061328605baeda926629ca0907c8c2f7eb7091b48d6be94e2696d20f2e721"},
{file = "wandb-0.18.2-py3-none-macosx_11_0_arm64.whl", hash = "sha256:4826089be875ac051e59ccc2af5fbaad534b5c3db0857d9a331e9c2210455855"},
{file = "wandb-0.18.2-py3-none-macosx_11_0_x86_64.whl", hash = "sha256:eca6d14e0fcfb9ba9369733b977965cf02b22a5803dcb8a68be1087fda0e2543"},
{file = "wandb-0.18.2-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ebedaf482e4064ecb9bb977e4c5704bfd23867bda8126700895b284f2cbebff9"},
{file = "wandb-0.18.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21ca6c2b7e75971fa55256e870bd80f9099b2a0bc31f2a6008c397157cb46aa8"},
{file = "wandb-0.18.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:827854221356aecfb749e6f95f09b22101612bff53836ef449779278de22146e"},
{file = "wandb-0.18.2-py3-none-win32.whl", hash = "sha256:cb7b1e40da03efac524879272913cea0df256d0ab9a1781c46bcb60ca7f7b18c"},
{file = "wandb-0.18.2-py3-none-win_amd64.whl", hash = "sha256:7cff3f0aa3619cec28bc5328c4763ae5e991741db09e52074deb42120863107c"},
{file = "wandb-0.18.2.tar.gz", hash = "sha256:1f1f574e311e9af061326ba213efa11d728310c0c3d4549ff17b51c768a62aa9"},
]
[package.dependencies]
click = ">=7.1,<8.0.0 || >8.0.0"
docker-pycreds = ">=0.4.0"
gitpython = ">=1.0.0,<3.1.29 || >3.1.29"
platformdirs = "*"
protobuf = {version = ">=3.19.0,<4.21.0 || >4.21.0,<5.28.0 || >5.28.0,<6", markers = "python_version > \"3.9\" or sys_platform != \"linux\""}
psutil = ">=5.0.0"
pyyaml = "*"
requests = ">=2.0.0,<3"
sentry-sdk = ">=1.0.0"
setproctitle = "*"
setuptools = "*"
[package.extras]
aws = ["boto3"]
azure = ["azure-identity", "azure-storage-blob"]
gcp = ["google-cloud-storage"]
importers = ["filelock", "mlflow", "polars (<=1.2.1)", "rich", "tenacity"]
kubeflow = ["google-cloud-storage", "kubernetes", "minio", "sh"]
launch = ["awscli", "azure-containerregistry", "azure-identity", "azure-storage-blob", "boto3", "botocore", "chardet", "google-auth", "google-cloud-aiplatform", "google-cloud-artifact-registry", "google-cloud-compute", "google-cloud-storage", "iso8601", "jsonschema", "kubernetes", "kubernetes-asyncio", "nbconvert", "nbformat", "optuna", "pydantic", "pyyaml (>=6.0.0)", "tomli", "typing-extensions"]
media = ["bokeh", "imageio", "moviepy", "numpy", "pillow", "plotly (>=5.18.0)", "rdkit-pypi", "soundfile"]
models = ["cloudpickle"]
perf = ["orjson"]
sweeps = ["sweeps (>=0.2.0)"]
workspaces = ["wandb-workspaces"]
[[package]]
name = "werkzeug"
version = "3.0.4"
@@ -3133,4 +3434,4 @@ multidict = ">=4.0"
[metadata]
lock-version = "2.0"
python-versions = "^3.10.9,<4.0"
content-hash = "1762cc4fb0290de6ed1845f8edfb3e76f93a5d003995aac932f984226546894f"
content-hash = "2b17bb7c50debbec5eb25515326a684e62e41e352ec9ca45a30be5ec01abedda"
pyproject.toml
+1
View File
@@ -24,6 +24,7 @@ alignment-handbook = {git = "https://github.com/huggingface/alignment-handbook.g
deepspeed = "^0.14"
# transformers="~4.39.3"
# python -m pip install flash-attn --no-build-isolation
wandb = "^0.18.2"
[tool.poetry.group.dev.dependencies]
pytest = "*"
training_configs/llama-3-2-1b-base-sft.yaml
+3 -3
View File
@@ -18,7 +18,7 @@ bf16: true
do_eval: true
evaluation_strategy: steps
eval_steps: 200
gradient_accumulation_steps: 1
gradient_accumulation_steps: 4
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: False
@@ -35,8 +35,8 @@ num_train_epochs: 1
output_dir: /workspace/checkpoints_new/llama-3-2-1b-sft
run_name: llama-3-2-1b-sft
overwrite_output_dir: true
per_device_eval_batch_size: 32
per_device_train_batch_size: 32
per_device_eval_batch_size: 8
per_device_train_batch_size: 8
push_to_hub: false
remove_unused_columns: true
report_to: