Compare commits
1 Commits
smaller-ra
...
muon-valid
| Author | SHA1 | Date | |
|---|---|---|---|
|
c578c8f256 |
14
.coveragerc
14
.coveragerc
@@ -1,14 +0,0 @@
|
||||
[run]
|
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source = axolotl
|
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omit =
|
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*/tests/*
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setup.py
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|
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[report]
|
||||
exclude_lines =
|
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pragma: no cover
|
||||
def __repr__
|
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raise NotImplementedError
|
||||
if __name__ == .__main__.:
|
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pass
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raise ImportError
|
||||
8
.github/workflows/base.yml
vendored
8
.github/workflows/base.yml
vendored
@@ -52,12 +52,6 @@ jobs:
|
||||
python_version: "3.11"
|
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pytorch: nightly
|
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torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
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- cuda: "128"
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cuda_version: 12.8.1
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cudnn_version: ""
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python_version: "3.11"
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pytorch: next
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torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
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steps:
|
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- name: Checkout
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uses: actions/checkout@v4
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@@ -79,7 +73,7 @@ jobs:
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uses: docker/build-push-action@v4
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with:
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context: .
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file: ${{ matrix.pytorch == 'nightly' && './docker/Dockerfile-base-nightly' || matrix.pytorch == 'next' && './docker/Dockerfile-base-next' || './docker/Dockerfile-base' }}
|
||||
file: ${{ matrix.pytorch == 'nightly' && './docker/Dockerfile-base-nightly' || './docker/Dockerfile-base' }}
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push: ${{ github.event_name != 'pull_request' }}
|
||||
tags: ${{ steps.metadata.outputs.tags }}-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}${{ matrix.axolotl_extras != '' && '-' || '' }}${{ matrix.axolotl_extras }}
|
||||
labels: ${{ steps.metadata.outputs.labels }}
|
||||
|
||||
2
.github/workflows/main.yml
vendored
2
.github/workflows/main.yml
vendored
@@ -29,7 +29,7 @@ jobs:
|
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cuda_version: 12.4.1
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python_version: "3.11"
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pytorch: 2.6.0
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axolotl_extras: vllm
|
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axolotl_extras:
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is_latest: true
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runs-on: axolotl-gpu-runner
|
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steps:
|
||||
|
||||
14
.github/workflows/multi-gpu-e2e.yml
vendored
14
.github/workflows/multi-gpu-e2e.yml
vendored
@@ -24,13 +24,6 @@ jobs:
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fail-fast: false
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||||
matrix:
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include:
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- cuda: 124
|
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cuda_version: 12.4.1
|
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python_version: "3.11"
|
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pytorch: 2.6.0
|
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axolotl_extras: vllm
|
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num_gpus: 2
|
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nightly_build: "true"
|
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- cuda: 124
|
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cuda_version: 12.4.1
|
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python_version: "3.11"
|
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@@ -45,6 +38,13 @@ jobs:
|
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axolotl_extras: vllm
|
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num_gpus: 2
|
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nightly_build: "true"
|
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- cuda: 124
|
||||
cuda_version: 12.4.1
|
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python_version: "3.11"
|
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pytorch: 2.6.0
|
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axolotl_extras: vllm
|
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num_gpus: 2
|
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nightly_build: "true"
|
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runs-on: [self-hosted, modal]
|
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timeout-minutes: 120
|
||||
steps:
|
||||
|
||||
17
.github/workflows/tests.yml
vendored
17
.github/workflows/tests.yml
vendored
@@ -102,16 +102,9 @@ jobs:
|
||||
|
||||
- name: Run tests
|
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run: |
|
||||
pytest -v -n8 --dist loadfile --ignore=tests/e2e/ --ignore=tests/patched/ --ignore=tests/cli/ tests/ --cov=axolotl --cov-report=xml
|
||||
pytest -v tests/patched/ --cov=axolotl --cov-append --cov-report=xml
|
||||
pytest -v tests/cli/ --cov=axolotl --cov-append --cov-report=xml
|
||||
|
||||
- name: Upload coverage to Codecov
|
||||
uses: codecov/codecov-action@v5
|
||||
with:
|
||||
files: ./coverage.xml
|
||||
flags: unittests,pytorch-${{ matrix.pytorch_version }}
|
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fail_ci_if_error: false
|
||||
pytest -v -n8 --dist loadfile --ignore=tests/e2e/ --ignore=tests/patched/ --ignore=tests/cli/ tests/
|
||||
pytest -v tests/patched/
|
||||
pytest -v tests/cli/
|
||||
|
||||
- name: cleanup pip cache
|
||||
run: |
|
||||
@@ -218,7 +211,7 @@ jobs:
|
||||
- cuda: 124
|
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cuda_version: 12.4.1
|
||||
python_version: "3.11"
|
||||
pytorch: 2.6.0
|
||||
pytorch: 2.5.1
|
||||
num_gpus: 1
|
||||
axolotl_extras: vllm
|
||||
steps:
|
||||
@@ -265,7 +258,7 @@ jobs:
|
||||
- cuda: 124
|
||||
cuda_version: 12.4.1
|
||||
python_version: "3.11"
|
||||
pytorch: 2.5.1
|
||||
pytorch: 2.6.0
|
||||
num_gpus: 1
|
||||
axolotl_extras: vllm
|
||||
steps:
|
||||
|
||||
23
README.md
23
README.md
@@ -9,7 +9,6 @@
|
||||
<p align="center">
|
||||
<img src="https://img.shields.io/github/license/axolotl-ai-cloud/axolotl.svg?color=blue" alt="GitHub License">
|
||||
<img src="https://github.com/axolotl-ai-cloud/axolotl/actions/workflows/tests.yml/badge.svg" alt="tests">
|
||||
<a href="https://codecov.io/gh/axolotl-ai-cloud/axolotl"><img src="https://codecov.io/gh/axolotl-ai-cloud/axolotl/branch/main/graph/badge.svg" alt="codecov"></a>
|
||||
<a href="https://github.com/axolotl-ai-cloud/axolotl/releases"><img src="https://img.shields.io/github/release/axolotl-ai-cloud/axolotl.svg" alt="Releases"></a>
|
||||
<br/>
|
||||
<a href="https://github.com/axolotl-ai-cloud/axolotl/graphs/contributors"><img src="https://img.shields.io/github/contributors-anon/axolotl-ai-cloud/axolotl?color=yellow&style=flat-square" alt="contributors" style="height: 20px;"></a>
|
||||
@@ -64,7 +63,7 @@ axolotl fetch examples
|
||||
axolotl fetch deepspeed_configs # OPTIONAL
|
||||
```
|
||||
|
||||
Other installation approaches are described [here](https://docs.axolotl.ai/docs/installation.html).
|
||||
Other installation approaches are described [here](https://axolotl-ai-cloud.github.io/axolotl/docs/installation.html).
|
||||
|
||||
### Your First Fine-tune
|
||||
|
||||
@@ -79,7 +78,7 @@ axolotl fetch examples --dest path/to/folder
|
||||
axolotl train examples/llama-3/lora-1b.yml
|
||||
```
|
||||
|
||||
That's it! Check out our [Getting Started Guide](https://docs.axolotl.ai/docs/getting-started.html) for a more detailed walkthrough.
|
||||
That's it! Check out our [Getting Started Guide](https://axolotl-ai-cloud.github.io/axolotl/docs/getting-started.html) for a more detailed walkthrough.
|
||||
|
||||
## ✨ Key Features
|
||||
|
||||
@@ -92,20 +91,20 @@ That's it! Check out our [Getting Started Guide](https://docs.axolotl.ai/docs/ge
|
||||
|
||||
## 📚 Documentation
|
||||
|
||||
- [Installation Options](https://docs.axolotl.ai/docs/installation.html) - Detailed setup instructions for different environments
|
||||
- [Configuration Guide](https://docs.axolotl.ai/docs/config.html) - Full configuration options and examples
|
||||
- [Dataset Guide](https://docs.axolotl.ai/docs/dataset-formats/) - Supported formats and how to use them
|
||||
- [Multi-GPU Training](https://docs.axolotl.ai/docs/multi-gpu.html)
|
||||
- [Multi-Node Training](https://docs.axolotl.ai/docs/multi-node.html)
|
||||
- [Multipacking](https://docs.axolotl.ai/docs/multipack.html)
|
||||
- [API Reference](https://docs.axolotl.ai/docs/api/) - Auto-generated code documentation
|
||||
- [FAQ](https://docs.axolotl.ai/docs/faq.html) - Frequently asked questions
|
||||
- [Installation Options](https://axolotl-ai-cloud.github.io/axolotl/docs/installation.html) - Detailed setup instructions for different environments
|
||||
- [Configuration Guide](https://axolotl-ai-cloud.github.io/axolotl/docs/config.html) - Full configuration options and examples
|
||||
- [Dataset Guide](https://axolotl-ai-cloud.github.io/axolotl/docs/dataset-formats/) - Supported formats and how to use them
|
||||
- [Multi-GPU Training](https://axolotl-ai-cloud.github.io/axolotl/docs/multi-gpu.html)
|
||||
- [Multi-Node Training](https://axolotl-ai-cloud.github.io/axolotl/docs/multi-node.html)
|
||||
- [Multipacking](https://axolotl-ai-cloud.github.io/axolotl/docs/multipack.html)
|
||||
- [API Reference](https://axolotl-ai-cloud.github.io/axolotl/docs/api/) - Auto-generated code documentation
|
||||
- [FAQ](https://axolotl-ai-cloud.github.io/axolotl/docs/faq.html) - Frequently asked questions
|
||||
|
||||
## 🤝 Getting Help
|
||||
|
||||
- Join our [Discord community](https://discord.gg/HhrNrHJPRb) for support
|
||||
- Check out our [Examples](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/) directory
|
||||
- Read our [Debugging Guide](https://docs.axolotl.ai/docs/debugging.html)
|
||||
- Read our [Debugging Guide](https://axolotl-ai-cloud.github.io/axolotl/docs/debugging.html)
|
||||
- Need dedicated support? Please contact [✉️wing@axolotl.ai](mailto:wing@axolotl.ai) for options
|
||||
|
||||
## 🌟 Contributing
|
||||
|
||||
@@ -231,7 +231,6 @@ website:
|
||||
- docs/reward_modelling.qmd
|
||||
- docs/lr_groups.qmd
|
||||
- docs/lora_optims.qmd
|
||||
- docs/dataset_loading.qmd
|
||||
|
||||
- section: "Core Concepts"
|
||||
contents:
|
||||
|
||||
63
cicd/cicd.sh
63
cicd/cicd.sh
@@ -3,59 +3,10 @@ set -e
|
||||
|
||||
python -c "import torch; assert '$PYTORCH_VERSION' in torch.__version__"
|
||||
|
||||
# Run unit tests with initial coverage report
|
||||
pytest -v --durations=10 -n8 \
|
||||
--ignore=tests/e2e/ \
|
||||
--ignore=tests/patched/ \
|
||||
--ignore=tests/cli \
|
||||
/workspace/axolotl/tests/ \
|
||||
--cov=axolotl \
|
||||
--cov-report=xml:coverage.xml
|
||||
|
||||
# Run lora kernels tests with coverage append
|
||||
pytest -v --durations=10 \
|
||||
/workspace/axolotl/tests/e2e/patched/lora_kernels \
|
||||
--cov=axolotl \
|
||||
--cov-append
|
||||
|
||||
# Run patched tests excluding lora kernels with coverage append
|
||||
pytest -v --durations=10 \
|
||||
--ignore=tests/e2e/patched/lora_kernels \
|
||||
/workspace/axolotl/tests/e2e/patched \
|
||||
--cov=axolotl \
|
||||
--cov-append
|
||||
|
||||
# Run solo tests with coverage append
|
||||
pytest -v --durations=10 -n1 \
|
||||
/workspace/axolotl/tests/e2e/solo/ \
|
||||
--cov=axolotl \
|
||||
--cov-append
|
||||
|
||||
# Run integration tests with coverage append
|
||||
pytest -v --durations=10 \
|
||||
/workspace/axolotl/tests/e2e/integrations/ \
|
||||
--cov=axolotl \
|
||||
--cov-append
|
||||
|
||||
pytest -v --durations=10 /workspace/axolotl/tests/cli \
|
||||
--cov=axolotl \
|
||||
--cov-append
|
||||
|
||||
# Run remaining e2e tests with coverage append and final report
|
||||
pytest -v --durations=10 \
|
||||
--ignore=tests/e2e/solo/ \
|
||||
--ignore=tests/e2e/patched/ \
|
||||
--ignore=tests/e2e/multigpu/ \
|
||||
--ignore=tests/e2e/integrations/ \
|
||||
--ignore=tests/cli \
|
||||
/workspace/axolotl/tests/e2e/ \
|
||||
--cov=axolotl \
|
||||
--cov-append \
|
||||
--cov-report=xml:coverage.xml
|
||||
|
||||
# Upload coverage to Codecov
|
||||
if [ -f e2e-coverage.xml ]; then
|
||||
codecov -f e2e-coverage.xml -F e2e,pytorch-${PYTORCH_VERSION}
|
||||
else
|
||||
echo "Coverage file not found. Coverage report may have failed."
|
||||
fi
|
||||
pytest -v --durations=10 -n8 --ignore=tests/e2e/ --ignore=tests/patched/ --ignore=tests/cli /workspace/axolotl/tests/
|
||||
pytest -v --durations=10 /workspace/axolotl/tests/e2e/patched/lora_kernels # running these with the other patches causes a failure
|
||||
pytest -v --durations=10 --ignore=tests/e2e/patched/lora_kernels /workspace/axolotl/tests/e2e/patched
|
||||
pytest -v --durations=10 -n1 /workspace/axolotl/tests/e2e/solo/
|
||||
pytest -v --durations=10 /workspace/axolotl/tests/e2e/integrations/
|
||||
pytest -v --durations=10 /workspace/axolotl/tests/cli
|
||||
pytest -v --durations=10 --ignore=tests/e2e/solo/ --ignore=tests/e2e/patched/ --ignore=tests/e2e/multigpu/ --ignore=tests/e2e/integrations/ --ignore=tests/cli /workspace/axolotl/tests/e2e/
|
||||
|
||||
@@ -68,7 +68,7 @@ def run_cmd(cmd: str, run_folder: str):
|
||||
@app.function(
|
||||
image=cicd_image,
|
||||
gpu=GPU_CONFIG,
|
||||
timeout=90 * 60,
|
||||
timeout=60 * 60,
|
||||
cpu=8.0,
|
||||
memory=131072 * N_GPUS,
|
||||
volumes=VOLUME_CONFIG,
|
||||
|
||||
@@ -2,24 +2,5 @@
|
||||
set -e
|
||||
|
||||
# only run one test at a time so as not to OOM the GPU
|
||||
pytest -v --durations=10 -n2 /workspace/axolotl/tests/e2e/multigpu/ --ignore=/workspace/axolotl/tests/e2e/multigpu/solo/
|
||||
pytest -v --durations=10 -n1 /workspace/axolotl/tests/e2e/multigpu/solo/
|
||||
|
||||
# Only run two tests at a time to avoid OOM on GPU (with coverage collection)
|
||||
pytest -v -n2 \
|
||||
--ignore=/workspace/axolotl/tests/e2e/multigpu/solo/
|
||||
/workspace/axolotl/tests/e2e/multigpu/ \
|
||||
--cov=axolotl \
|
||||
--cov-report=xml:multigpu-coverage.xml
|
||||
|
||||
pytest -v --durations=10 -n1 /workspace/axolotl/tests/e2e/multigpu/solo/ \
|
||||
--cov=axolotl \
|
||||
--cov-append \
|
||||
--cov-report=xml:multigpu-coverage.xml
|
||||
|
||||
# Upload coverage to Codecov
|
||||
if [ -f multigpu-coverage.xml ]; then
|
||||
codecov -f multigpu-coverage.xml -F multigpu,docker-tests,pytorch-${PYTORCH_VERSION}
|
||||
else
|
||||
echo "Coverage file not found. Coverage report may have failed."
|
||||
fi
|
||||
pytest -v -n2 /workspace/axolotl/tests/e2e/multigpu/ --ignore=/workspace/axolotl/tests/e2e/multigpu/solo/
|
||||
pytest -v -n1 /workspace/axolotl/tests/e2e/multigpu/solo/
|
||||
|
||||
51
codecov.yml
51
codecov.yml
@@ -1,51 +0,0 @@
|
||||
codecov:
|
||||
require_ci_to_pass: yes
|
||||
|
||||
coverage:
|
||||
precision: 2
|
||||
round: down
|
||||
range: "70...100"
|
||||
status:
|
||||
project:
|
||||
default:
|
||||
# basic
|
||||
target: auto
|
||||
threshold: 0%
|
||||
base: auto
|
||||
# advanced
|
||||
branches: null
|
||||
if_no_uploads: error
|
||||
if_not_found: success
|
||||
if_ci_failed: error
|
||||
only_pulls: false
|
||||
flags: null
|
||||
paths: null
|
||||
patch:
|
||||
default:
|
||||
# basic
|
||||
target: auto
|
||||
threshold: 0%
|
||||
base: auto
|
||||
# advanced
|
||||
branches: null
|
||||
if_no_uploads: error
|
||||
if_not_found: success
|
||||
if_ci_failed: error
|
||||
only_pulls: false
|
||||
flags: null
|
||||
paths: null
|
||||
|
||||
parsers:
|
||||
gcov:
|
||||
branch_detection:
|
||||
conditional: yes
|
||||
loop: yes
|
||||
method: no
|
||||
macro: no
|
||||
|
||||
comment:
|
||||
layout: "reach,diff,flags,files,footer"
|
||||
behavior: default
|
||||
require_changes: no
|
||||
require_base: no
|
||||
require_head: yes
|
||||
@@ -20,9 +20,9 @@ WORKDIR /workspace/axolotl
|
||||
|
||||
# If AXOLOTL_EXTRAS is set, append it in brackets
|
||||
RUN if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
|
||||
pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
|
||||
pip install --no-build-isolation -e .[deepspeed,flash-attn,optimizers,ray,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
|
||||
else \
|
||||
pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray] $AXOLOTL_ARGS; \
|
||||
pip install --no-build-isolation -e .[deepspeed,flash-attn,optimizers,ray] $AXOLOTL_ARGS; \
|
||||
fi
|
||||
|
||||
RUN python scripts/unsloth_install.py | sh
|
||||
|
||||
@@ -29,7 +29,7 @@ ENV PATH="/root/miniconda3/envs/py${PYTHON_VERSION}/bin:${PATH}"
|
||||
WORKDIR /workspace
|
||||
|
||||
RUN python3 -m pip install --upgrade pip && pip3 install -U packaging==23.2 setuptools==75.8.0 wheel && \
|
||||
python3 -m pip install --no-cache-dir -U torch==${PYTORCH_VERSION}+cu${CUDA} torchvision --extra-index-url https://download.pytorch.org/whl/cu$CUDA && \
|
||||
python3 -m pip install --no-cache-dir -U torch==${PYTORCH_VERSION}+cu${CUDA} --extra-index-url https://download.pytorch.org/whl/cu$CUDA && \
|
||||
python3 -m pip install --no-cache-dir "causal_conv1d @ git+https://github.com/Dao-AILab/causal-conv1d.git@main" && \
|
||||
python3 -m pip install --no-cache-dir "mamba_ssm @ git+https://github.com/state-spaces/mamba.git@main"
|
||||
|
||||
|
||||
@@ -1,38 +0,0 @@
|
||||
ARG CUDA_VERSION="12.8.1"
|
||||
ARG CUDNN_VERSION="8"
|
||||
ARG UBUNTU_VERSION="22.04"
|
||||
ARG MAX_JOBS=4
|
||||
|
||||
FROM nvidia/cuda:$CUDA_VERSION-cudnn$CUDNN_VERSION-devel-ubuntu$UBUNTU_VERSION AS base-builder
|
||||
|
||||
ENV PATH="/root/miniconda3/bin:${PATH}"
|
||||
|
||||
ARG PYTHON_VERSION="3.11"
|
||||
ARG PYTORCH_VERSION="next"
|
||||
ARG CUDA="128"
|
||||
ARG TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6 9.0+PTX"
|
||||
|
||||
ENV PYTHON_VERSION=$PYTHON_VERSION
|
||||
ENV TORCH_CUDA_ARCH_LIST=$TORCH_CUDA_ARCH_LIST
|
||||
|
||||
RUN apt-get update \
|
||||
&& apt-get install -y wget git build-essential ninja-build git-lfs libaio-dev pkg-config && rm -rf /var/lib/apt/lists/* \
|
||||
&& wget \
|
||||
https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \
|
||||
&& mkdir /root/.conda \
|
||||
&& bash Miniconda3-latest-Linux-x86_64.sh -b \
|
||||
&& rm -f Miniconda3-latest-Linux-x86_64.sh \
|
||||
&& conda create -n "py${PYTHON_VERSION}" python="${PYTHON_VERSION}"
|
||||
|
||||
ENV PATH="/root/miniconda3/envs/py${PYTHON_VERSION}/bin:${PATH}"
|
||||
|
||||
WORKDIR /workspace
|
||||
|
||||
RUN python3 -m pip install --upgrade pip && pip3 install packaging && \
|
||||
python3 -m pip install --no-cache-dir -U torch==2.7.0 --extra-index-url https://download.pytorch.org/whl/test/cu$CUDA && \
|
||||
python3 -m pip install --no-cache-dir "causal_conv1d @ git+https://github.com/Dao-AILab/causal-conv1d.git@main" && \
|
||||
python3 -m pip install --no-cache-dir "mamba_ssm @ git+https://github.com/state-spaces/mamba.git@main"
|
||||
|
||||
RUN git lfs install --skip-repo && \
|
||||
pip3 install awscli && \
|
||||
pip3 install -U --no-cache-dir pydantic==2.10.6
|
||||
@@ -90,7 +90,7 @@ lora_on_cpu: true
|
||||
|
||||
# List[str]. Add plugins to extend the pipeline.
|
||||
# See `src/axolotl/integrations` for the available plugins or doc below for more details.
|
||||
# https://docs.axolotl.ai/docs/custom_integrations.html
|
||||
# https://axolotl-ai-cloud.github.io/axolotl/docs/custom_integrations.html
|
||||
plugins:
|
||||
# - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
|
||||
|
||||
@@ -109,7 +109,7 @@ datasets:
|
||||
preprocess_shards: # Optional[int] process dataset in N sequential chunks for memory efficiency (exclusive with `shards`)
|
||||
|
||||
name: # Optional[str] name of dataset configuration to load
|
||||
split: train # Optional[str] name of dataset split to load from
|
||||
train_on_split: train # Optional[str] name of dataset split to load from
|
||||
revision: # Optional[str] The specific revision of the dataset to use when loading from the Hugging Face Hub. This can be a commit hash, tag, or branch name. If not specified, the latest version will be used. This parameter is ignored for local datasets.
|
||||
trust_remote_code: # Optional[bool] Trust remote code for untrusted source
|
||||
|
||||
@@ -165,9 +165,7 @@ datasets:
|
||||
content: value
|
||||
# ...
|
||||
|
||||
# Optional[Dict[str, List]]. Roles mapping in the messages.
|
||||
# The format is {target_role: [source_roles]}. All source roles will be mapped to the target role.
|
||||
# The default is:
|
||||
# Optional[Dict[str, List]]. Roles mapping in the messages. The default is:
|
||||
roles:
|
||||
user: ["human", "user"]
|
||||
assistant: ["gpt", "assistant"]
|
||||
@@ -394,7 +392,7 @@ lora_fan_in_fan_out: false
|
||||
|
||||
# Apply custom LoRA autograd functions and activation function Triton kernels for
|
||||
# speed and memory savings
|
||||
# See: https://docs.axolotl.ai/docs/lora_optims.html
|
||||
# See: https://axolotl-ai-cloud.github.io/axolotl/docs/lora_optims.html
|
||||
lora_mlp_kernel: true
|
||||
lora_qkv_kernel: true
|
||||
lora_o_kernel: true
|
||||
@@ -512,8 +510,7 @@ train_on_inputs: false
|
||||
# Note that training loss may have an oscillating pattern with this enabled.
|
||||
group_by_length: false
|
||||
|
||||
# Whether to use gradient checkpointing. Available options are: true, false, "offload".
|
||||
# https://huggingface.co/docs/transformers/v4.18.0/en/performance#gradient-checkpointing
|
||||
# Whether to use gradient checkpointing https://huggingface.co/docs/transformers/v4.18.0/en/performance#gradient-checkpointing
|
||||
gradient_checkpointing: false
|
||||
# additional kwargs to pass to the trainer for gradient checkpointing
|
||||
# gradient_checkpointing_kwargs:
|
||||
@@ -688,14 +685,11 @@ ddp_broadcast_buffers:
|
||||
# Use in long context training to prevent OOM when sequences cannot fit into a single GPU's VRAM.
|
||||
# E.g., if 4 GPUs are available, set this value to 2 to split each sequence into two equal-sized
|
||||
# subsequences, or set to 4 to split into four equal-sized subsequences.
|
||||
# See https://docs.axolotl.ai/docs/sequence_parallelism.html for more details.
|
||||
# See https://axolotl-ai-cloud.github.io/axolotl/docs/sequence_parallelism.html for more details.
|
||||
sequence_parallel_degree:
|
||||
# Optional; strides across the key dimension. Larger values use more memory but should make training faster.
|
||||
# Must evenly divide the number of KV heads in your model.
|
||||
heads_k_stride: 1
|
||||
# One of "varlen_llama3", "batch_ring", "batch_zigzag", "batch_stripe". Defaults to "varlen_llama3"
|
||||
# in the sample packing case, and "batch_ring" in the non-sample packing case.
|
||||
ring_attn_func:
|
||||
|
||||
# Path to torch distx for optim 'adamw_anyprecision'
|
||||
torchdistx_path:
|
||||
|
||||
@@ -13,13 +13,6 @@ As there are a lot of available options in Axolotl, this guide aims to provide a
|
||||
|
||||
Axolotl supports 3 kinds of training methods: pre-training, supervised fine-tuning, and preference-based post-training (e.g. DPO, ORPO, PRMs). Each method has their own dataset format which are described below.
|
||||
|
||||
::: {.callout-tip}
|
||||
|
||||
This guide will mainly use JSONL as an introduction. Please refer to the [dataset loading docs](../dataset_loading.qmd) to understand how to load datasets from other sources.
|
||||
|
||||
For `pretraining_dataset:` specifically, please refer to the [Pre-training section](#pre-training).
|
||||
:::
|
||||
|
||||
## Pre-training
|
||||
|
||||
When aiming to train on large corpora of text datasets, pre-training is your go-to choice. Due to the size of these datasets, downloading the entire-datasets before beginning training would be prohibitively time-consuming. Axolotl supports [streaming](https://huggingface.co/docs/datasets/en/stream) to only load batches into memory at a time.
|
||||
@@ -457,7 +450,10 @@ datasets:
|
||||
type: alpaca
|
||||
```
|
||||
|
||||
Axolotl supports many kinds of instruction dataset. All of them can be found in the [Instruction Dataset Documentation](inst_tune.qmd) with their respective type and sample row format.
|
||||
Axolotl supports many kinds of instruction dataset. All of them can be found here (https://axolotl-ai-cloud.github.io/axolotl/docs/dataset-formats/inst_tune.html) with their respective type and sample row format.
|
||||
|
||||
|
||||
Reference: [Instruction Dataset Documentation](inst_tune.qmd).
|
||||
|
||||
#### Custom Instruct Prompt Format
|
||||
|
||||
|
||||
@@ -1,276 +0,0 @@
|
||||
---
|
||||
title: Dataset Loading
|
||||
description: Understanding how to load datasets from different sources
|
||||
back-to-top-navigation: true
|
||||
toc: true
|
||||
toc-depth: 5
|
||||
---
|
||||
|
||||
## Overview
|
||||
|
||||
Datasets can be loaded in a number of different ways depending on the how it is saved (the extension of the file) and where it is stored.
|
||||
|
||||
## Loading Datasets
|
||||
|
||||
We use the `datasets` library to load datasets and a mix of `load_dataset` and `load_from_disk` to load them.
|
||||
|
||||
You may recognize the similar named configs between `load_dataset` and the `datasets` section of the config file.
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
- path:
|
||||
name:
|
||||
data_files:
|
||||
split:
|
||||
revision:
|
||||
trust_remote_code:
|
||||
```
|
||||
|
||||
::: {.callout-tip}
|
||||
|
||||
Do not feel overwhelmed by the number of options here. A lot of them are optional. In fact, the most common config to use would be `path` and sometimes `data_files`.
|
||||
|
||||
:::
|
||||
|
||||
This matches the API of [`datasets.load_dataset`](https://github.com/huggingface/datasets/blob/0b5998ac62f08e358f8dcc17ec6e2f2a5e9450b6/src/datasets/load.py#L1838-L1858), so if you're familiar with that, you will feel right at home.
|
||||
|
||||
For HuggingFace's guide to load different dataset types, see [here](https://huggingface.co/docs/datasets/loading).
|
||||
|
||||
For full details on the config, see [config.qmd](config.qmd).
|
||||
|
||||
::: {.callout-note}
|
||||
|
||||
You can set multiple datasets in the config file by more than one entry under `datasets`.
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
- path: /path/to/your/dataset
|
||||
- path: /path/to/your/other/dataset
|
||||
```
|
||||
|
||||
:::
|
||||
|
||||
### Local dataset
|
||||
|
||||
#### Files
|
||||
|
||||
Usually, to load a JSON file, you would do something like this:
|
||||
|
||||
```python
|
||||
from datasets import load_dataset
|
||||
|
||||
dataset = load_dataset("json", data_files="data.json")
|
||||
```
|
||||
|
||||
Which translates to the following config:
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
- path: json
|
||||
data_files: /path/to/your/file.jsonl
|
||||
```
|
||||
|
||||
However, to make things easier, we have added a few shortcuts for loading local dataset files.
|
||||
|
||||
You can just point the `path` to the file or directory along with the `ds_type` to load the dataset. The below example shows for a JSON file:
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
- path: /path/to/your/file.jsonl
|
||||
ds_type: json
|
||||
```
|
||||
|
||||
This works for CSV, JSON, Parquet, and Arrow files.
|
||||
|
||||
::: {.callout-tip}
|
||||
|
||||
If `path` points to a file and `ds_type` is not specified, we will automatically infer the dataset type from the file extension, so you could omit `ds_type` if you'd like.
|
||||
|
||||
:::
|
||||
|
||||
#### Directory
|
||||
|
||||
If you're loading a directory, you can point the `path` to the directory.
|
||||
|
||||
Then, you have two options:
|
||||
|
||||
##### Loading entire directory
|
||||
|
||||
You do not need any additional configs.
|
||||
|
||||
We will attempt to load in the following order:
|
||||
- datasets saved with `datasets.save_to_disk`
|
||||
- loading entire directory of files (such as with parquet/arrow files)
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
- path: /path/to/your/directory
|
||||
```
|
||||
|
||||
##### Loading specific files in directory
|
||||
|
||||
Provide `data_files` with a list of files to load.
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
# single file
|
||||
- path: /path/to/your/directory
|
||||
ds_type: csv
|
||||
data_files: file1.csv
|
||||
|
||||
# multiple files
|
||||
- path: /path/to/your/directory
|
||||
ds_type: json
|
||||
data_files:
|
||||
- file1.jsonl
|
||||
- file2.jsonl
|
||||
|
||||
# multiple files for parquet
|
||||
- path: /path/to/your/directory
|
||||
ds_type: parquet
|
||||
data_files:
|
||||
- file1.parquet
|
||||
- file2.parquet
|
||||
|
||||
```
|
||||
|
||||
### HuggingFace Hub
|
||||
|
||||
The method you use to load the dataset depends on how the dataset was created, whether a folder was uploaded directly or a HuggingFace Dataset was pushed.
|
||||
|
||||
::: {.callout-note}
|
||||
|
||||
If you're using a private dataset, you will need to enable the `hf_use_auth_token` flag in the root-level of the config file.
|
||||
|
||||
:::
|
||||
|
||||
#### Folder uploaded
|
||||
|
||||
This would mean that the dataset is a single file or file(s) uploaded to the Hub.
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
- path: org/dataset-name
|
||||
data_files:
|
||||
- file1.jsonl
|
||||
- file2.jsonl
|
||||
```
|
||||
|
||||
#### HuggingFace Dataset
|
||||
|
||||
This means that the dataset is created as a HuggingFace Dataset and pushed to the Hub via `datasets.push_to_hub`.
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
- path: org/dataset-name
|
||||
```
|
||||
|
||||
::: {.callout-note}
|
||||
|
||||
There are some other configs which may be required like `name`, `split`, `revision`, `trust_remote_code`, etc depending on the dataset.
|
||||
|
||||
:::
|
||||
|
||||
### Remote Filesystems
|
||||
|
||||
Via the `storage_options` config under `load_dataset`, you can load datasets from remote filesystems like S3, GCS, Azure, and OCI.
|
||||
|
||||
::: {.callout-warning}
|
||||
|
||||
This is currently experimental. Please let us know if you run into any issues!
|
||||
|
||||
:::
|
||||
|
||||
The only difference between the providers is that you need to prepend the path with the respective protocols.
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
# Single file
|
||||
- path: s3://bucket-name/path/to/your/file.jsonl
|
||||
|
||||
# Directory
|
||||
- path: s3://bucket-name/path/to/your/directory
|
||||
```
|
||||
|
||||
For directory, we load via `load_from_disk`.
|
||||
|
||||
#### S3
|
||||
|
||||
Prepend the path with `s3://`.
|
||||
|
||||
The credentials are pulled in the following order:
|
||||
|
||||
- `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, and `AWS_SESSION_TOKEN` environment variables
|
||||
- from the `~/.aws/credentials` file
|
||||
- for nodes on EC2, the IAM metadata provider
|
||||
|
||||
::: {.callout-note}
|
||||
|
||||
We assume you have credentials setup and not using anonymous access. If you want to use anonymous access, let us know! We may have to open a config option for this.
|
||||
|
||||
:::
|
||||
|
||||
Other environment variables that can be set can be found in [boto3 docs](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/configuration.html#using-environment-variables)
|
||||
|
||||
#### GCS
|
||||
|
||||
Prepend the path with `gs://` or `gcs://`.
|
||||
|
||||
The credentials are loaded in the following order:
|
||||
|
||||
- gcloud credentials
|
||||
- for nodes on GCP, the google metadata service
|
||||
- anonymous access
|
||||
|
||||
#### Azure
|
||||
|
||||
##### Gen 1
|
||||
|
||||
Prepend the path with `adl://`.
|
||||
|
||||
Ensure you have the following environment variables set:
|
||||
|
||||
- `AZURE_STORAGE_TENANT_ID`
|
||||
- `AZURE_STORAGE_CLIENT_ID`
|
||||
- `AZURE_STORAGE_CLIENT_SECRET`
|
||||
|
||||
##### Gen 2
|
||||
|
||||
Prepend the path with `abfs://` or `az://`.
|
||||
|
||||
Ensure you have the following environment variables set:
|
||||
|
||||
- `AZURE_STORAGE_ACCOUNT_NAME`
|
||||
- `AZURE_STORAGE_ACCOUNT_KEY`
|
||||
|
||||
Other environment variables that can be set can be found in [adlfs docs](https://github.com/fsspec/adlfs?tab=readme-ov-file#setting-credentials)
|
||||
|
||||
#### OCI
|
||||
|
||||
Prepend the path with `oci://`.
|
||||
|
||||
It would attempt to read in the following order:
|
||||
|
||||
- `OCIFS_IAM_TYPE`, `OCIFS_CONFIG_LOCATION`, and `OCIFS_CONFIG_PROFILE` environment variables
|
||||
- when on OCI resource, resource principal
|
||||
|
||||
Other environment variables:
|
||||
|
||||
- `OCI_REGION_METADATA`
|
||||
|
||||
Please see the [ocifs docs](https://ocifs.readthedocs.io/en/latest/getting-connected.html#Using-Environment-Variables).
|
||||
|
||||
### HTTPS
|
||||
|
||||
The path should start with `https://`.
|
||||
|
||||
```yaml
|
||||
datasets:
|
||||
- path: https://path/to/your/dataset/file.jsonl
|
||||
```
|
||||
|
||||
This must be publically accessible.
|
||||
|
||||
## Next steps
|
||||
|
||||
Now that you know how to load datasets, you can learn more on how to load your specific dataset format into your target output format [dataset formats docs](dataset-formats).
|
||||
@@ -17,7 +17,6 @@ We currently support several common model architectures, including (but not limi
|
||||
- `qwen2`
|
||||
- `gemma`
|
||||
- `gemma2`
|
||||
- `gemma3`
|
||||
|
||||
<details>
|
||||
|
||||
|
||||
@@ -36,9 +36,6 @@ deepspeed: deepspeed_configs/zero1.json
|
||||
### Usage {#sec-deepspeed-usage}
|
||||
|
||||
```{.bash}
|
||||
# Fetch deepspeed configs (if not already present)
|
||||
axolotl fetch deepspeed_configs
|
||||
|
||||
# Passing arg via config
|
||||
axolotl train config.yml
|
||||
|
||||
@@ -51,20 +48,10 @@ axolotl train config.yml --deepspeed deepspeed_configs/zero1.json
|
||||
We provide default configurations for:
|
||||
|
||||
- ZeRO Stage 1 (`zero1.json`)
|
||||
- ZeRO Stage 1 with torch compile (`zero1_torch_compile.json`)
|
||||
- ZeRO Stage 2 (`zero2.json`)
|
||||
- ZeRO Stage 3 (`zero3.json`)
|
||||
- ZeRO Stage 3 with bf16 (`zero3_bf16.json`)
|
||||
- ZeRO Stage 3 with bf16 and CPU offload params(`zero3_bf16_cpuoffload_params.json`)
|
||||
- ZeRO Stage 3 with bf16 and CPU offload params and optimizer (`zero3_bf16_cpuoffload_all.json`)
|
||||
|
||||
::: {.callout-tip}
|
||||
|
||||
Choose the configuration that offloads the least amount to memory while still being able to fit on VRAM for best performance.
|
||||
|
||||
Start from Stage 1 -> Stage 2 -> Stage 3.
|
||||
|
||||
:::
|
||||
Choose based on your memory requirements and performance needs.
|
||||
|
||||
## FSDP {#sec-fsdp}
|
||||
|
||||
|
||||
@@ -9,7 +9,6 @@ format:
|
||||
## Supported Models
|
||||
|
||||
- [Mllama](#sec-mllama)
|
||||
- [Llama4](#sec-llama4)
|
||||
- [Pixtral](#sec-pixtral)
|
||||
- [Llava-1.5](#sec-llava-15)
|
||||
- [Mistral-Small-3.1](#sec-mistral-small-31)
|
||||
@@ -64,14 +63,6 @@ base_model: meta-llama/Llama-3.2-11B-Vision-Instruct
|
||||
chat_template: llama3_2_vision
|
||||
```
|
||||
|
||||
### Llama4 {#sec-llama4}
|
||||
|
||||
```yaml
|
||||
base_model: meta-llama/Llama-4-Scout-17B-16E-Instruct
|
||||
|
||||
chat_template: llama4
|
||||
```
|
||||
|
||||
### Pixtral {#sec-pixtral}
|
||||
|
||||
```yaml
|
||||
|
||||
@@ -530,7 +530,7 @@ trl:
|
||||
```
|
||||
|
||||
```bash
|
||||
CUDA_VISIBLE_DEVICES=2,3 axolotl vllm-serve grpo.yaml
|
||||
CUDA_VISIBLE_DEVICES=2,3 axolotl vllm_serve grpo.yaml
|
||||
```
|
||||
|
||||
Your `vLLM` instance will now attempt to spin up, and it's time to kick off training utilizing our remaining two GPUs. In another terminal, execute:
|
||||
|
||||
@@ -27,9 +27,6 @@ To enable sequence parallelism, add the following to your configuration file:
|
||||
sequence_parallel_degree: 4 # Split sequences across 4 GPUs
|
||||
# Optional; strides across the key dimension. Larger values use more memory but should make training faster.
|
||||
heads_k_stride: 1
|
||||
# Optional; one of "varlen_llama3", "batch_ring", "batch_zigzag", "batch_stripe". Defaults to
|
||||
# "varlen_llama3" when `sample_packing: true`, and "batch_ring" otherwise.
|
||||
ring_attn_func:
|
||||
```
|
||||
|
||||
The `sequence_parallel_degree` should be a divisor of the total number of GPUs. For example:
|
||||
|
||||
@@ -8,6 +8,10 @@ tokenizer_type: GPT2Tokenizer
|
||||
trust_remote_code: true
|
||||
tokenizer_use_fast: true
|
||||
tokenizer_legacy: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
push_dataset_to_hub:
|
||||
hf_use_auth_token: true
|
||||
datasets:
|
||||
@@ -30,6 +34,7 @@ lora_alpha:
|
||||
lora_dropout:
|
||||
lora_target_modules:
|
||||
lora_target_linear:
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -53,12 +58,16 @@ learning_rate: 0.000085
|
||||
train_on_inputs: true
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
sdp_attention:
|
||||
flash_optimum:
|
||||
@@ -71,6 +80,8 @@ evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
save_total_limit:
|
||||
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
special_tokens:
|
||||
pad_token: "<|endoftext|>"
|
||||
|
||||
@@ -4,6 +4,7 @@ base_model: cerebras/Cerebras-GPT-1.3B
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
push_dataset_to_hub:
|
||||
datasets:
|
||||
- path: teknium/GPT4-LLM-Cleaned
|
||||
@@ -21,6 +22,7 @@ lora_target_modules:
|
||||
- c_attn
|
||||
- c_proj
|
||||
lora_target_linear:
|
||||
lora_fan_in_fan_out:
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
@@ -34,10 +36,15 @@ optimizer: paged_adamw_8bit
|
||||
torchdistx_path:
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention: true
|
||||
flash_attention:
|
||||
@@ -46,6 +53,10 @@ gptq_model_v1:
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|endoftext|>"
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: CodeLlamaTokenizer
|
||||
|
||||
load_in_8bit: true
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
@@ -25,6 +26,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -39,18 +41,29 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: CodeLlamaTokenizer
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
@@ -25,7 +26,9 @@ pad_to_sequence_len: true
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -40,18 +43,28 @@ optimizer: paged_adamw_32bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: CodeLlamaTokenizer
|
||||
|
||||
load_in_8bit: true
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
@@ -25,6 +26,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -39,18 +41,29 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: CodeLlamaTokenizer
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
@@ -25,7 +26,9 @@ pad_to_sequence_len: true
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -40,18 +43,28 @@ optimizer: paged_adamw_32bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: CodeLlamaTokenizer
|
||||
|
||||
load_in_8bit: true
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
@@ -25,6 +26,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -39,18 +41,29 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: CodeLlamaTokenizer
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
@@ -25,7 +26,9 @@ pad_to_sequence_len: true
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -40,18 +43,28 @@ optimizer: paged_adamw_32bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -4,6 +4,7 @@ tokenizer_type: AutoTokenizer
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
# huggingface repo
|
||||
chat_template: cohere
|
||||
@@ -43,16 +44,28 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch:
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -4,6 +4,10 @@ base_model: LnL-AI/dbrx-base-converted-v2
|
||||
|
||||
trust_remote_code: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: tatsu-lab/alpaca
|
||||
type: alpaca
|
||||
@@ -44,20 +48,26 @@ optimizer: paged_adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: false # don't use with fsdp_activation_checkpointing
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch:
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- full_shard
|
||||
|
||||
@@ -6,6 +6,7 @@ trust_remote_code: true
|
||||
|
||||
load_in_8bit: true
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: tatsu-lab/alpaca
|
||||
@@ -47,20 +48,26 @@ optimizer: paged_adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: false # don't use with fsdp_activation_checkpointing
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch:
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- full_shard
|
||||
|
||||
@@ -4,6 +4,10 @@ base_model: LnL-AI/dbrx-base-converted-v2
|
||||
|
||||
trust_remote_code: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: tatsu-lab/alpaca
|
||||
type: alpaca
|
||||
@@ -31,19 +35,25 @@ optimizer: paged_adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch:
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
weight_decay: 0.0
|
||||
deepspeed: deepspeed_configs/zero3_bf16.json
|
||||
|
||||
@@ -1,58 +0,0 @@
|
||||
base_model: agentica-org/DeepCoder-14B-Preview
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: true
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: fozziethebeat/alpaca_messages_2k_test
|
||||
type: chat_template
|
||||
field_messages: messages
|
||||
message_property_mappings:
|
||||
role: role
|
||||
content: content
|
||||
|
||||
dataset_prepared_path:
|
||||
val_set_size: 0.05
|
||||
output_dir: ./outputs/lora-out
|
||||
|
||||
sequence_len: 4096
|
||||
sample_packing: true
|
||||
eval_sample_packing: false
|
||||
pad_to_sequence_len: true
|
||||
|
||||
adapter: lora
|
||||
lora_model_dir:
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
wandb_name:
|
||||
wandb_log_model:
|
||||
|
||||
gradient_accumulation_steps: 2
|
||||
micro_batch_size: 2
|
||||
num_epochs: 4
|
||||
optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
bf16: auto
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
resume_from_checkpoint:
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
weight_decay: 0.0
|
||||
special_tokens:
|
||||
@@ -1,58 +0,0 @@
|
||||
base_model: deepcogito/cogito-v1-preview-llama-3B
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: true
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: fozziethebeat/alpaca_messages_2k_test
|
||||
type: chat_template
|
||||
field_messages: messages
|
||||
message_property_mappings:
|
||||
role: role
|
||||
content: content
|
||||
|
||||
dataset_prepared_path:
|
||||
val_set_size: 0.05
|
||||
output_dir: ./outputs/lora-out
|
||||
|
||||
sequence_len: 4096
|
||||
sample_packing: true
|
||||
eval_sample_packing: false
|
||||
pad_to_sequence_len: true
|
||||
|
||||
adapter: lora
|
||||
lora_model_dir:
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
wandb_name:
|
||||
wandb_log_model:
|
||||
|
||||
gradient_accumulation_steps: 2
|
||||
micro_batch_size: 2
|
||||
num_epochs: 1
|
||||
optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
bf16: auto
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
resume_from_checkpoint:
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
weight_decay: 0.0
|
||||
special_tokens:
|
||||
@@ -1,58 +0,0 @@
|
||||
base_model: deepcogito/cogito-v1-preview-qwen-14B
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: true
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: fozziethebeat/alpaca_messages_2k_test
|
||||
type: chat_template
|
||||
field_messages: messages
|
||||
message_property_mappings:
|
||||
role: role
|
||||
content: content
|
||||
|
||||
dataset_prepared_path:
|
||||
val_set_size: 0.05
|
||||
output_dir: ./outputs/lora-out
|
||||
|
||||
sequence_len: 4096
|
||||
sample_packing: true
|
||||
eval_sample_packing: false
|
||||
pad_to_sequence_len: true
|
||||
|
||||
adapter: lora
|
||||
lora_model_dir:
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
wandb_name:
|
||||
wandb_log_model:
|
||||
|
||||
gradient_accumulation_steps: 2
|
||||
micro_batch_size: 2
|
||||
num_epochs: 1
|
||||
optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
bf16: auto
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
resume_from_checkpoint:
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
weight_decay: 0.0
|
||||
special_tokens:
|
||||
@@ -3,6 +3,10 @@ base_model: deepseek-ai/DeepSeek-V2-Lite
|
||||
# hub_model_id: username/custom_model_name
|
||||
trust_remote_code: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: tatsu-lab/alpaca
|
||||
type: alpaca
|
||||
@@ -27,19 +31,27 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 2e-5
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 2
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
special_tokens:
|
||||
fsdp:
|
||||
|
||||
@@ -6,6 +6,7 @@ trust_remote_code: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
|
||||
plugins:
|
||||
@@ -51,19 +52,27 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 2e-5
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 2
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
special_tokens:
|
||||
fsdp:
|
||||
|
||||
@@ -11,6 +11,7 @@ trust_remote_code: true
|
||||
load_in_8bit: true
|
||||
load_in_4bit: false
|
||||
gptq: false
|
||||
strict: false
|
||||
push_dataset_to_hub:
|
||||
datasets:
|
||||
- path: teknium/GPT4-LLM-Cleaned
|
||||
@@ -24,7 +25,9 @@ max_packed_sequence_len:
|
||||
lora_r: 16
|
||||
lora_alpha: 32
|
||||
lora_dropout: 0.0
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
@@ -38,10 +41,15 @@ optimizer: adamw_bnb_8bit
|
||||
torchdistx_path:
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00003
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention: true
|
||||
flash_attention:
|
||||
@@ -50,7 +58,11 @@ gptq_model_v1:
|
||||
warmup_steps: 40
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|endoftext|>"
|
||||
bos_token: "<|endoftext|>"
|
||||
|
||||
@@ -15,6 +15,7 @@ load_in_8bit: false
|
||||
# enable 4bit for QLoRA
|
||||
load_in_4bit: true
|
||||
gptq: false
|
||||
strict: false
|
||||
push_dataset_to_hub:
|
||||
datasets:
|
||||
- path: QingyiSi/Alpaca-CoT
|
||||
@@ -37,7 +38,9 @@ lora_alpha: 16
|
||||
# 0.05 for 33B and 65B models
|
||||
lora_dropout: 0.05
|
||||
# add LoRA modules on all linear layers of the base model
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -64,7 +67,10 @@ lr_scheduler: cosine
|
||||
# - 2e-4 for 7b & 13b
|
||||
# - 1e-4 for 33b & 64b
|
||||
learning_rate: 0.0002
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
gradient_checkpointing: true
|
||||
# stop training after this many evaluation losses have increased in a row
|
||||
@@ -72,6 +78,7 @@ gradient_checkpointing: true
|
||||
early_stopping_patience: 3
|
||||
resume_from_checkpoint:
|
||||
auto_resume_from_checkpoints: true
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention: true
|
||||
flash_attention:
|
||||
@@ -80,7 +87,11 @@ gptq_model_v1:
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.000001
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|endoftext|>"
|
||||
bos_token: "<|endoftext|>"
|
||||
|
||||
@@ -7,7 +7,11 @@ tokenizer_type: AutoTokenizer
|
||||
|
||||
# required by falcon custom model code: https://huggingface.co/tiiuae/falcon-7b/tree/main
|
||||
trust_remote_code: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
gptq: false
|
||||
strict: false
|
||||
push_dataset_to_hub:
|
||||
datasets:
|
||||
- path: teknium/GPT4-LLM-Cleaned
|
||||
@@ -21,7 +25,9 @@ max_packed_sequence_len:
|
||||
lora_r: 64
|
||||
lora_alpha: 32
|
||||
lora_dropout: 0.0
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
@@ -35,10 +41,15 @@ optimizer: adamw_bnb_8bit
|
||||
torchdistx_path:
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00003
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention: true
|
||||
flash_attention:
|
||||
@@ -47,7 +58,11 @@ gptq_model_v1:
|
||||
warmup_steps: 40
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|endoftext|>"
|
||||
bos_token: "<|endoftext|>"
|
||||
|
||||
@@ -8,6 +8,7 @@ tokenizer_type: AutoTokenizer
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
# huggingface repo
|
||||
datasets:
|
||||
@@ -41,16 +42,28 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: AutoTokenizer
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
# huggingface repo
|
||||
chat_template: gemma
|
||||
@@ -47,16 +48,28 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch:
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -6,6 +6,10 @@ tokenizer_type: AutoTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
reward_model: true
|
||||
chat_template: gemma
|
||||
datasets:
|
||||
@@ -34,6 +38,8 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: true
|
||||
fp16:
|
||||
tf32: true
|
||||
@@ -41,12 +47,21 @@ tf32: true
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch:
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -10,6 +10,7 @@ ddp_find_unused_parameters: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
# huggingface repo
|
||||
chat_template: gemma3
|
||||
@@ -49,18 +50,30 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch:
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
base_model: google/gemma-3-4b-it
|
||||
processor_type: AutoProcessor
|
||||
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
# these 3 lines are needed for now to handle vision chat templates w images
|
||||
skip_prepare_dataset: true
|
||||
@@ -21,7 +20,7 @@ dataset_prepared_path: last_run_prepared
|
||||
val_set_size: 0.01
|
||||
output_dir: ./outputs/out
|
||||
|
||||
adapter: qlora
|
||||
adapter: lora
|
||||
lora_model_dir:
|
||||
|
||||
sequence_len: 2048
|
||||
@@ -45,6 +44,8 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: true
|
||||
fp16:
|
||||
tf32: true
|
||||
@@ -52,6 +53,7 @@ tf32: true
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
eager_attention:
|
||||
@@ -59,4 +61,8 @@ eager_attention:
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
@@ -1,60 +0,0 @@
|
||||
base_model: google/gemma-3-4b-it
|
||||
|
||||
load_in_4bit: true
|
||||
|
||||
# gemma3 doesn't seem to play nice with ddp
|
||||
ddp_find_unused_parameters: true
|
||||
|
||||
chat_template: gemma3
|
||||
datasets:
|
||||
- path: cgato/SlimOrcaDedupCleaned
|
||||
type: chat_template
|
||||
field_messages: conversations
|
||||
message_property_mappings:
|
||||
role: from
|
||||
content: value
|
||||
|
||||
dataset_prepared_path: last_run_prepared
|
||||
val_set_size: 0.01
|
||||
output_dir: ./outputs/out
|
||||
|
||||
adapter: qlora
|
||||
lora_model_dir:
|
||||
|
||||
sequence_len: 2048
|
||||
sample_packing: true
|
||||
pad_to_sequence_len: true
|
||||
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules: 'language_model.model.layers.[\d]+.(mlp|cross_attn|self_attn).(up|down|gate|q|k|v|o)_proj'
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
wandb_name:
|
||||
wandb_log_model:
|
||||
|
||||
gradient_accumulation_steps: 4
|
||||
micro_batch_size: 2
|
||||
num_epochs: 1
|
||||
optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
bf16: true
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
eager_attention:
|
||||
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
weight_decay: 0.0
|
||||
@@ -4,6 +4,7 @@ base_model: EleutherAI/gpt-j-6b
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
push_dataset_to_hub:
|
||||
datasets:
|
||||
- path: teknium/GPT4-LLM-Cleaned
|
||||
@@ -17,7 +18,9 @@ max_packed_sequence_len:
|
||||
lora_r: 8
|
||||
lora_alpha: 32
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
@@ -31,10 +34,15 @@ optimizer: paged_adamw_8bit
|
||||
torchdistx_path:
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0001
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention: true
|
||||
flash_attention:
|
||||
@@ -43,6 +51,10 @@ gptq_model_v1:
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|endoftext|>"
|
||||
|
||||
@@ -6,6 +6,7 @@ trust_remote_code: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
@@ -39,18 +40,26 @@ optimizer: paged_adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00001
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
special_tokens:
|
||||
|
||||
@@ -5,6 +5,7 @@ trust_remote_code: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
@@ -38,20 +39,26 @@ optimizer: paged_adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00001
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch:
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
deepspeed: deepspeed_configs/zero2.json
|
||||
weight_decay: 0.0
|
||||
special_tokens:
|
||||
|
||||
@@ -5,6 +5,7 @@ tokenizer_type: AutoTokenizer
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
use_tensorboard: true
|
||||
chat_template: jamba
|
||||
datasets:
|
||||
@@ -38,6 +39,8 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00001
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: true
|
||||
tf32: true
|
||||
|
||||
|
||||
@@ -33,9 +33,13 @@ optimizer: adamw_bnb_8bit
|
||||
torchdistx_path:
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00003
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
tf32: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 5
|
||||
xformers_attention: true
|
||||
flash_attention:
|
||||
@@ -44,7 +48,11 @@ gptq_model_v1:
|
||||
warmup_steps: 20
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -5,6 +5,10 @@ tokenizer_type: LlamaTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
type: alpaca
|
||||
@@ -22,6 +26,7 @@ lora_r:
|
||||
lora_alpha:
|
||||
lora_dropout:
|
||||
lora_target_linear:
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -36,12 +41,18 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
flash_attn_cross_entropy: false
|
||||
flash_attn_rms_norm: true
|
||||
@@ -50,8 +61,11 @@ flash_attn_fuse_mlp: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
deepspeed: #deepspeed_configs/zero2.json # multi-gpu only
|
||||
weight_decay: 0.1
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -10,6 +10,9 @@ gptq_disable_exllama: true
|
||||
|
||||
tokenizer_use_fast: true
|
||||
tokenizer_legacy: true
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
push_dataset_to_hub:
|
||||
hf_use_auth_token: true
|
||||
datasets:
|
||||
@@ -30,6 +33,7 @@ lora_target_modules:
|
||||
- q_proj
|
||||
- v_proj
|
||||
lora_target_linear:
|
||||
lora_fan_in_fan_out:
|
||||
wandb_project:
|
||||
wandb_watch:
|
||||
wandb_name:
|
||||
@@ -46,19 +50,26 @@ torchdistx_path:
|
||||
lr_scheduler: cosine
|
||||
lr_quadratic_warmup: true
|
||||
learning_rate: 0.000017
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: false
|
||||
fp16: false
|
||||
float16: true
|
||||
tf32: true
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention:
|
||||
sdp_attention:
|
||||
flash_optimum:
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
|
||||
@@ -5,6 +5,10 @@ tokenizer_type: LlamaTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: teknium/GPT4-LLM-Cleaned
|
||||
type: alpaca
|
||||
@@ -22,6 +26,7 @@ lora_r:
|
||||
lora_alpha:
|
||||
lora_dropout:
|
||||
lora_target_linear:
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
lisa_n_layers: 4
|
||||
lisa_step_interval: 20
|
||||
@@ -40,12 +45,18 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 5e-5 # recommendation from lisa paper for 7b
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
flash_attn_cross_entropy: false
|
||||
flash_attn_rms_norm: true
|
||||
@@ -54,8 +65,13 @@ flash_attn_fuse_mlp: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.1
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -5,6 +5,10 @@ tokenizer_type: LlamaTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
type: alpaca
|
||||
@@ -22,6 +26,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
peft:
|
||||
loftq_config:
|
||||
loftq_bits: 4
|
||||
@@ -39,16 +44,29 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: LlamaTokenizer
|
||||
|
||||
load_in_8bit: true
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
@@ -25,6 +26,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -39,16 +41,29 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: LlamaTokenizer
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: yahma/alpaca-cleaned
|
||||
@@ -25,7 +26,9 @@ pad_to_sequence_len: true
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -40,19 +43,28 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00001
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- full_shard
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: LlamaTokenizer
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
@@ -25,7 +26,9 @@ pad_to_sequence_len: true
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -40,16 +43,27 @@ optimizer: paged_adamw_32bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -5,6 +5,7 @@ tokenizer_type: LlamaTokenizer
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: teknium/GPT4-LLM-Cleaned
|
||||
@@ -23,7 +24,9 @@ pad_to_sequence_len: true
|
||||
lora_r: 8
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
relora_steps: 150
|
||||
relora_warmup_steps: 10
|
||||
@@ -42,18 +45,28 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<s>"
|
||||
eos_token: "</s>"
|
||||
|
||||
@@ -4,6 +4,7 @@ processor_type: AutoProcessor
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
strict: false
|
||||
|
||||
# these 3 lines are needed for now to handle vision chat templates w images
|
||||
skip_prepare_dataset: true
|
||||
@@ -44,11 +45,14 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: true
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
eager_attention:
|
||||
@@ -56,4 +60,8 @@ eager_attention:
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
|
||||
@@ -9,6 +9,7 @@ liger_rms_norm: true
|
||||
liger_glu_activation: true
|
||||
liger_fused_linear_cross_entropy: true
|
||||
|
||||
strict: false
|
||||
|
||||
chat_template: llama3
|
||||
datasets:
|
||||
@@ -41,19 +42,27 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 2e-5
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 2
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- full_shard
|
||||
|
||||
@@ -2,6 +2,10 @@ base_model: NousResearch/Meta-Llama-3.1-8B
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: tatsu-lab/alpaca
|
||||
type: alpaca
|
||||
@@ -26,19 +30,29 @@ optimizer: paged_adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 2e-5
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 2
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: <|end_of_text|>
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: AutoTokenizer
|
||||
|
||||
load_in_8bit: true
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
chat_template: llama3
|
||||
rl: dpo
|
||||
@@ -41,6 +42,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -55,15 +57,28 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: AutoTokenizer
|
||||
|
||||
load_in_8bit: true
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
chat_template: llama3
|
||||
datasets:
|
||||
@@ -36,6 +37,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -50,17 +52,30 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: <|end_of_text|>
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: AutoTokenizer
|
||||
|
||||
load_in_8bit: true
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
chat_template: llama3
|
||||
rl: dpo
|
||||
@@ -57,6 +58,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -71,15 +73,28 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: AutoTokenizer
|
||||
|
||||
load_in_8bit: true
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
@@ -30,6 +31,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
lora_modules_to_save:
|
||||
- embed_tokens
|
||||
- lm_head
|
||||
@@ -47,17 +49,30 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: <|end_of_text|>
|
||||
|
||||
@@ -2,6 +2,10 @@ base_model: NousResearch/Llama-3.2-1B
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: teknium/GPT4-LLM-Cleaned
|
||||
type: alpaca
|
||||
@@ -20,6 +24,7 @@ lora_r: 16
|
||||
lora_alpha: 32
|
||||
# Currently, we don't support dropout with our custom Triton kernels
|
||||
# lora_dropout: 0.05
|
||||
lora_fan_in_fan_out:
|
||||
lora_target_modules:
|
||||
- gate_proj
|
||||
- down_proj
|
||||
@@ -48,12 +53,18 @@ optimizer: adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -62,6 +73,10 @@ loss_watchdog_patience: 3
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|end_of_text|>"
|
||||
|
||||
@@ -2,6 +2,10 @@ base_model: NousResearch/Llama-3.2-1B
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: teknium/GPT4-LLM-Cleaned
|
||||
type: alpaca
|
||||
@@ -20,6 +24,7 @@ pad_to_sequence_len: true
|
||||
lora_r: 16
|
||||
lora_alpha: 32
|
||||
lora_dropout: 0.05
|
||||
lora_fan_in_fan_out:
|
||||
lora_target_modules:
|
||||
- gate_proj
|
||||
- down_proj
|
||||
@@ -42,12 +47,18 @@ optimizer: adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -56,9 +67,11 @@ loss_watchdog_patience: 3
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
deepspeed: deepspeed_configs/zero3.json
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|end_of_text|>"
|
||||
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: AutoTokenizer
|
||||
|
||||
load_in_8bit: true
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
@@ -32,6 +33,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
lora_modules_to_save:
|
||||
- embed_tokens
|
||||
- lm_head
|
||||
@@ -49,17 +51,30 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: <|end_of_text|>
|
||||
|
||||
@@ -2,6 +2,10 @@ base_model: NousResearch/Llama-3.2-1B
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: teknium/GPT4-LLM-Cleaned
|
||||
type: alpaca
|
||||
@@ -20,6 +24,7 @@ pad_to_sequence_len: true
|
||||
lora_r: 16
|
||||
lora_alpha: 32
|
||||
lora_dropout: 0.05
|
||||
lora_fan_in_fan_out:
|
||||
lora_target_modules:
|
||||
- gate_proj
|
||||
- down_proj
|
||||
@@ -42,12 +47,18 @@ optimizer: adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -56,6 +67,10 @@ loss_watchdog_patience: 3
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|end_of_text|>"
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: AutoTokenizer
|
||||
|
||||
load_in_8bit: true
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
@@ -26,6 +27,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
lora_modules_to_save:
|
||||
- embed_tokens
|
||||
- lm_head
|
||||
@@ -43,17 +45,30 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: <|end_of_text|>
|
||||
|
||||
@@ -4,6 +4,7 @@ base_model: meta-llama/Llama-3.2-1B
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
rl: kto
|
||||
rl_beta: 0.5
|
||||
@@ -31,6 +32,7 @@ lora_r: 32
|
||||
lora_alpha: 64
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -45,19 +47,31 @@ optimizer: adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 20
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|end_of_text|>"
|
||||
|
||||
@@ -4,6 +4,7 @@ base_model: NousResearch/Llama-3.2-1B
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: teknium/GPT4-LLM-Cleaned
|
||||
@@ -23,6 +24,7 @@ pad_to_sequence_len: true
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_fan_in_fan_out:
|
||||
lora_target_modules:
|
||||
- gate_proj
|
||||
- down_proj
|
||||
@@ -45,12 +47,18 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -58,7 +66,13 @@ loss_watchdog_patience: 3
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|end_of_text|>"
|
||||
|
||||
@@ -5,6 +5,7 @@ tokenizer_type: AutoTokenizer
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: tatsu-lab/alpaca
|
||||
@@ -23,6 +24,7 @@ pad_to_sequence_len: true
|
||||
lora_r: 16
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
|
||||
gradient_accumulation_steps: 4
|
||||
@@ -32,6 +34,8 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00001
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: true
|
||||
tf32: true
|
||||
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: AutoTokenizer # PreTrainedTokenizerFast
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: tatsu-lab/alpaca
|
||||
@@ -25,7 +26,9 @@ pad_to_sequence_len: true
|
||||
lora_r: 8
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -40,19 +43,28 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.00001
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- full_shard
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: AutoTokenizer
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: aaditya/alpaca_subset_1
|
||||
@@ -25,7 +26,9 @@ pad_to_sequence_len: true
|
||||
lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_modules:
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -40,17 +43,28 @@ optimizer: paged_adamw_32bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
pad_token: "<|end_of_text|>"
|
||||
|
||||
@@ -1,28 +0,0 @@
|
||||
# Llama 4 by Meta AI
|
||||
|
||||
## Flash Attention vs Flex Attention
|
||||
|
||||
While Flash Attention to support is "enabled" for Llama-4, the upstream implementation is not correct and usage of Flex Attention is recommended.
|
||||
|
||||
## Available Examples
|
||||
|
||||
### Llama 4 Scout 17Bx16Experts (109B)
|
||||
|
||||
Flex Attention
|
||||
- [Text Single GPU (H100) QLoRA](./scout-qlora-single-h100-flex.yaml)
|
||||
- [Text Multi GPU QLoRA w/ FSDP2](./scout-qlora-flexattn-fsdp2.yaml)
|
||||
|
||||
[//]: # (Flash Attention (Do not use))
|
||||
|
||||
[//]: # (- [Multi-Modal/Vision QLoRA w/ FSDP1](./scout-vision-qlora-fsdp.yaml))
|
||||
|
||||
[//]: # (- [Text Single GPU (H100) QLoRA](./scout-qlora-single-h100.yaml))
|
||||
|
||||
[//]: # (- [Text Multi GPU QLoRA w/ FSDP1](./scout-qlora-fsdp1.yaml))
|
||||
|
||||
Our Single H100 implementation for Llama 4 Scout uses only 64.5GB VRAM for post-training with 4k context length @ 519 tokens/second. [WandB logs here](https://wandb.ai/axolotl-ai/llama4-flexattn-qlora/runs/wpie7dkj)
|
||||
Multi-GPU (4xH100) for Llama 4 Scout uses 62.8GB VRAM/GPU @ 4k contenxt length @ 280tps/gpu, [WandB logs here](https://wandb.ai/axolotl-ai/llama4-flexattn-qlora/runs/2lkezdj8)
|
||||
|
||||
### Llama 4 Maverick 17Bx128Experts (400B)
|
||||
|
||||
Coming Soon
|
||||
@@ -1,88 +0,0 @@
|
||||
base_model: axolotl-quants/Llama-4-Maverick-17B-128E-Linearized-bnb-nf4-bf16
|
||||
model_type: Llama4ForConditionalGeneration
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
|
||||
plugins:
|
||||
- axolotl.integrations.liger.LigerPlugin
|
||||
|
||||
liger_glu_activation: true
|
||||
liger_rms_norm: true
|
||||
liger_layer_norm: true
|
||||
|
||||
llama4_linearized_experts: true
|
||||
load_in_4bit: true
|
||||
adapter: qlora
|
||||
lora_r: 32
|
||||
lora_alpha: 64
|
||||
lora_target_modules:
|
||||
- self_attn.q_proj
|
||||
- self_attn.k_proj
|
||||
- self_attn.v_proj
|
||||
- self_attn.o_proj
|
||||
- shared_expert.gate_proj
|
||||
- shared_expert.up_proj
|
||||
- shared_expert.down_proj
|
||||
# - experts.gate_projs.[0-9]+$
|
||||
# - experts.up_projs.[0-9]+$
|
||||
# - experts.down_projs.[0-9]+$
|
||||
lora_modules_to_save:
|
||||
# - lm_head
|
||||
# - embed_tokens
|
||||
|
||||
chat_template: llama4
|
||||
datasets:
|
||||
- path: mlabonne/FineTome-100k
|
||||
type: chat_template
|
||||
split: train[:20%]
|
||||
field_messages: conversations
|
||||
message_property_mappings:
|
||||
role: from
|
||||
content: value
|
||||
|
||||
dataset_prepared_path: last_run_prepared
|
||||
val_set_size: 0.0
|
||||
output_dir: ./outputs/out
|
||||
|
||||
sequence_len: 4096
|
||||
sample_packing: true
|
||||
pad_to_sequence_len: true
|
||||
|
||||
gradient_accumulation_steps: 1
|
||||
micro_batch_size: 1
|
||||
num_epochs: 1
|
||||
optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 1e-4
|
||||
|
||||
bf16: true
|
||||
tf32: true
|
||||
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
|
||||
gradient_checkpointing: offload
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
|
||||
warmup_steps: 20
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- auto_wrap
|
||||
- full_shard
|
||||
fsdp_config:
|
||||
fsdp_transformer_layer_cls_to_wrap: Llama4TextDecoderLayer
|
||||
fsdp_limit_all_gathers: true
|
||||
fsdp_sync_module_states: true
|
||||
fsdp_offload_params: true
|
||||
fsdp_use_orig_params: false
|
||||
fsdp_cpu_ram_efficient_loading: true
|
||||
fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
|
||||
fsdp_state_dict_type: FULL_STATE_DICT
|
||||
fsdp_sharding_strategy: FULL_SHARD
|
||||
special_tokens:
|
||||
pad_token: <|finetune_right_pad_id|>
|
||||
eos_token: <|eot|>
|
||||
@@ -1,92 +0,0 @@
|
||||
base_model: axolotl-quants/Llama-4-Scout-17B-16E-Linearized-bnb-nf4-bf16
|
||||
model_type: Llama4ForConditionalGeneration
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
|
||||
# torch_compile: true
|
||||
plugins:
|
||||
- axolotl.integrations.liger.LigerPlugin
|
||||
|
||||
liger_glu_activation: true
|
||||
liger_rms_norm: true
|
||||
liger_layer_norm: true
|
||||
|
||||
llama4_linearized_experts: true
|
||||
load_in_4bit: true
|
||||
adapter: qlora
|
||||
lora_r: 32
|
||||
lora_alpha: 64
|
||||
lora_target_modules:
|
||||
- self_attn.q_proj
|
||||
- self_attn.k_proj
|
||||
- self_attn.v_proj
|
||||
- self_attn.o_proj
|
||||
- shared_expert.gate_proj
|
||||
- shared_expert.up_proj
|
||||
- shared_expert.down_proj
|
||||
# - experts.gate_projs.[0-9]+$
|
||||
# - experts.up_projs.[0-9]+$
|
||||
# - experts.down_projs.[0-9]+$
|
||||
lora_modules_to_save:
|
||||
- lm_head
|
||||
- embed_tokens
|
||||
|
||||
chat_template: llama4
|
||||
datasets:
|
||||
- path: mlabonne/FineTome-100k
|
||||
type: chat_template
|
||||
split: train[:20%]
|
||||
field_messages: conversations
|
||||
message_property_mappings:
|
||||
role: from
|
||||
content: value
|
||||
|
||||
dataset_prepared_path: last_run_prepared
|
||||
val_set_size: 0.0
|
||||
output_dir: ./outputs/out
|
||||
|
||||
sequence_len: 4096
|
||||
sample_packing: true
|
||||
pad_to_sequence_len: true
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
wandb_name:
|
||||
wandb_log_model:
|
||||
|
||||
gradient_accumulation_steps: 1
|
||||
micro_batch_size: 1
|
||||
num_epochs: 1
|
||||
optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 2e-5
|
||||
|
||||
bf16: true
|
||||
tf32: true
|
||||
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- auto_wrap
|
||||
- full_shard
|
||||
fsdp_config:
|
||||
fsdp_transformer_layer_cls_to_wrap: Llama4TextDecoderLayer
|
||||
fsdp_limit_all_gathers: true
|
||||
fsdp_sync_module_states: true
|
||||
fsdp_offload_params: true
|
||||
fsdp_use_orig_params: false
|
||||
fsdp_cpu_ram_efficient_loading: true
|
||||
fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
|
||||
fsdp_state_dict_type: FULL_STATE_DICT
|
||||
fsdp_sharding_strategy: FULL_SHARD
|
||||
fsdp_activation_checkpointing: true
|
||||
special_tokens:
|
||||
pad_token: <|finetune_right_pad_id|>
|
||||
eos_token: <|eot|>
|
||||
@@ -1,85 +0,0 @@
|
||||
base_model: axolotl-quants/Llama-4-Scout-17B-16E-Linearized-bnb-nf4-bf16
|
||||
model_type: Llama4ForConditionalGeneration
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
|
||||
plugins:
|
||||
- axolotl.integrations.liger.LigerPlugin
|
||||
|
||||
liger_glu_activation: true
|
||||
liger_rms_norm: true
|
||||
liger_layer_norm: true
|
||||
|
||||
llama4_linearized_experts: true
|
||||
load_in_4bit: true
|
||||
adapter: qlora
|
||||
lora_r: 32
|
||||
lora_alpha: 64
|
||||
lora_target_modules:
|
||||
- self_attn.q_proj
|
||||
- self_attn.k_proj
|
||||
- self_attn.v_proj
|
||||
- self_attn.o_proj
|
||||
- shared_expert.gate_proj
|
||||
- shared_expert.up_proj
|
||||
- shared_expert.down_proj
|
||||
# - experts.gate_projs.[0-9]+$
|
||||
# - experts.up_projs.[0-9]+$
|
||||
# - experts.down_projs.[0-9]+$
|
||||
lora_modules_to_save:
|
||||
# - lm_head
|
||||
# - embed_tokens
|
||||
|
||||
lora_mlp_kernel: true
|
||||
lora_qkv_kernel: true
|
||||
lora_o_kernel: true
|
||||
|
||||
chat_template: llama4
|
||||
datasets:
|
||||
- path: mlabonne/FineTome-100k
|
||||
type: chat_template
|
||||
split: train[:20%]
|
||||
field_messages: conversations
|
||||
message_property_mappings:
|
||||
role: from
|
||||
content: value
|
||||
|
||||
dataset_prepared_path: last_run_prepared
|
||||
val_set_size: 0.0
|
||||
output_dir: ./outputs/out
|
||||
|
||||
sequence_len: 4096 # up to 8k will work on a single H100
|
||||
sample_packing: true
|
||||
pad_to_sequence_len: true
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
wandb_name:
|
||||
wandb_log_model:
|
||||
|
||||
gradient_accumulation_steps: 1
|
||||
micro_batch_size: 1
|
||||
num_epochs: 1
|
||||
optimizer: adamw_torch_4bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 1e-4
|
||||
|
||||
bf16: true
|
||||
tf32: true
|
||||
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
|
||||
gradient_checkpointing: offload
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
|
||||
warmup_steps: 20
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
weight_decay: 0.0
|
||||
special_tokens:
|
||||
pad_token: <|finetune_right_pad_id|>
|
||||
eos_token: <|eot|>
|
||||
@@ -1,88 +0,0 @@
|
||||
base_model: axolotl-quants/Llama-4-Scout-17B-16E-Linearized-bnb-nf4-bf16
|
||||
model_type: Llama4ForConditionalGeneration
|
||||
processor_type: Llama4Processor
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
|
||||
# these 3 lines are needed for now to handle vision chat templates w images
|
||||
skip_prepare_dataset: true
|
||||
remove_unused_columns: false
|
||||
sample_packing: false
|
||||
|
||||
sequence_len: 4096
|
||||
|
||||
plugins:
|
||||
- axolotl.integrations.liger.LigerPlugin
|
||||
|
||||
liger_glu_activation: true
|
||||
liger_rms_norm: true
|
||||
liger_layer_norm: true
|
||||
|
||||
llama4_linearized_experts: true # use Axolotl's customized model
|
||||
load_in_4bit: true
|
||||
adapter: qlora
|
||||
lora_r: 32
|
||||
lora_alpha: 64
|
||||
lora_target_modules:
|
||||
- self_attn.q_proj
|
||||
- self_attn.k_proj
|
||||
- self_attn.v_proj
|
||||
- self_attn.o_proj
|
||||
- shared_expert.gate_proj
|
||||
- shared_expert.up_proj
|
||||
- shared_expert.down_proj
|
||||
- vision_adapter.mlp.fc1
|
||||
- vision_adapter.mlp.fc2
|
||||
# - experts.gate_projs.[0-9]+$
|
||||
# - experts.up_projs.[0-9]+$
|
||||
# - experts.down_projs.[0-9]+$
|
||||
lora_modules_to_save:
|
||||
- lm_head
|
||||
- embed_tokens
|
||||
|
||||
chat_template: llama4
|
||||
datasets:
|
||||
- path: HuggingFaceH4/llava-instruct-mix-vsft
|
||||
type: chat_template
|
||||
split: train[:1%]
|
||||
field_messages: messages
|
||||
|
||||
dataset_prepared_path: last_run_prepared
|
||||
val_set_size: 0.0
|
||||
output_dir: ./outputs/out
|
||||
|
||||
gradient_accumulation_steps: 1
|
||||
micro_batch_size: 1
|
||||
num_epochs: 1
|
||||
optimizer: adamw_torch_4bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 2e-5
|
||||
|
||||
bf16: true
|
||||
tf32: true
|
||||
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 100
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- auto_wrap
|
||||
- full_shard
|
||||
fsdp_config:
|
||||
fsdp_transformer_layer_cls_to_wrap: Llama4TextDecoderLayer
|
||||
fsdp_limit_all_gathers: true
|
||||
fsdp_sync_module_states: true
|
||||
fsdp_offload_params: true
|
||||
fsdp_use_orig_params: false
|
||||
fsdp_cpu_ram_efficient_loading: true
|
||||
fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
|
||||
fsdp_state_dict_type: FULL_STATE_DICT
|
||||
fsdp_sharding_strategy: FULL_SHARD
|
||||
fsdp_activation_checkpointing: true
|
||||
special_tokens:
|
||||
pad_token: <|finetune_right_pad_id|>
|
||||
eos_token: <|eot|>
|
||||
@@ -1,86 +0,0 @@
|
||||
base_model: axolotl-quants/Llama-4-Scout-17B-16E-Linearized-bnb-nf4-bf16
|
||||
model_type: Llama4ForConditionalGeneration
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
plugins:
|
||||
- axolotl.integrations.liger.LigerPlugin
|
||||
|
||||
liger_glu_activation: true
|
||||
liger_rms_norm: true
|
||||
liger_layer_norm: true
|
||||
|
||||
llama4_linearized_experts: true
|
||||
load_in_4bit: true
|
||||
adapter: qlora
|
||||
lora_r: 32
|
||||
lora_alpha: 64
|
||||
lora_target_modules:
|
||||
- self_attn.q_proj
|
||||
- self_attn.k_proj
|
||||
- self_attn.v_proj
|
||||
- self_attn.o_proj
|
||||
- shared_expert.gate_proj
|
||||
- shared_expert.up_proj
|
||||
- shared_expert.down_proj
|
||||
# - experts.gate_projs.[0-9]+$
|
||||
# - experts.up_projs.[0-9]+$
|
||||
# - experts.down_projs.[0-9]+$
|
||||
lora_modules_to_save:
|
||||
# - lm_head
|
||||
# - embed_tokens
|
||||
|
||||
chat_template: llama4
|
||||
datasets:
|
||||
- path: mlabonne/FineTome-100k
|
||||
type: chat_template
|
||||
split: train[:20%]
|
||||
field_messages: conversations
|
||||
message_property_mappings:
|
||||
role: from
|
||||
content: value
|
||||
|
||||
dataset_prepared_path: last_run_prepared
|
||||
val_set_size: 0.0
|
||||
output_dir: ./outputs/out
|
||||
|
||||
sequence_len: 4096
|
||||
sample_packing: true
|
||||
pad_to_sequence_len: true
|
||||
|
||||
gradient_accumulation_steps: 1
|
||||
micro_batch_size: 2
|
||||
num_epochs: 3
|
||||
optimizer: adamw_torch_4bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 1e-4
|
||||
|
||||
bf16: true
|
||||
tf32: true
|
||||
|
||||
logging_steps: 1
|
||||
flex_attention: true
|
||||
flex_attn_compile_kwargs:
|
||||
dynamic: false
|
||||
mode: max-autotune-no-cudagraphs
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- auto_wrap
|
||||
- full_shard
|
||||
fsdp_config:
|
||||
fsdp_version: 2
|
||||
fsdp_offload_params: false
|
||||
fsdp_cpu_ram_efficient_loading: true
|
||||
fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
|
||||
fsdp_transformer_layer_cls_to_wrap: Llama4TextDecoderLayer
|
||||
fsdp_state_dict_type: SHARDED_STATE_DICT
|
||||
fsdp_sharding_strategy: FULL_SHARD
|
||||
fsdp_reshard_after_forward: true
|
||||
fsdp_activation_checkpointing: true
|
||||
special_tokens:
|
||||
pad_token: <|finetune_right_pad_id|>
|
||||
eos_token: <|eot|>
|
||||
@@ -1,85 +0,0 @@
|
||||
base_model: axolotl-quants/Llama-4-Scout-17B-16E-Linearized-bnb-nf4-bf16
|
||||
model_type: Llama4ForConditionalGeneration
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
plugins:
|
||||
- axolotl.integrations.liger.LigerPlugin
|
||||
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
|
||||
|
||||
liger_glu_activation: true
|
||||
liger_rms_norm: true
|
||||
liger_layer_norm: true
|
||||
cut_cross_entropy: true
|
||||
|
||||
llama4_linearized_experts: true # needed with custom linearized experts model
|
||||
load_in_4bit: true
|
||||
adapter: qlora
|
||||
lora_r: 32
|
||||
lora_alpha: 64
|
||||
lora_target_modules:
|
||||
- self_attn.q_proj
|
||||
- self_attn.k_proj
|
||||
- self_attn.v_proj
|
||||
- self_attn.o_proj
|
||||
- shared_expert.gate_proj
|
||||
- shared_expert.up_proj
|
||||
- shared_expert.down_proj
|
||||
# - experts.gate_projs.[0-9]+$ # optionally train the moe experts
|
||||
# - experts.up_projs.[0-9]+$
|
||||
# - experts.down_projs.[0-9]+$
|
||||
lora_modules_to_save:
|
||||
# - lm_head # needed if modifying vocabulary
|
||||
# - embed_tokens
|
||||
|
||||
lora_mlp_kernel: true
|
||||
lora_qkv_kernel: true
|
||||
lora_o_kernel: true
|
||||
|
||||
chat_template: llama4
|
||||
datasets:
|
||||
- path: mlabonne/FineTome-100k
|
||||
type: chat_template
|
||||
split: train[:20%]
|
||||
field_messages: conversations
|
||||
message_property_mappings:
|
||||
role: from
|
||||
content: value
|
||||
|
||||
dataset_prepared_path: last_run_prepared
|
||||
val_set_size: 0.0
|
||||
output_dir: ./outputs/out
|
||||
|
||||
sequence_len: 4096 # up to 8k will work on a single H100
|
||||
sample_packing: true
|
||||
pad_to_sequence_len: true
|
||||
|
||||
gradient_accumulation_steps: 1
|
||||
micro_batch_size: 1
|
||||
num_epochs: 1
|
||||
optimizer: adamw_torch_4bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 1e-4
|
||||
|
||||
bf16: true
|
||||
tf32: true
|
||||
|
||||
torch_compile: true
|
||||
flex_attention: true
|
||||
flex_attn_compile_kwargs:
|
||||
dynamic: false
|
||||
mode: max-autotune-no-cudagraphs
|
||||
|
||||
gradient_checkpointing: offload
|
||||
gradient_checkpointing_kwargs:
|
||||
use_reentrant: false
|
||||
|
||||
logging_steps: 1
|
||||
warmup_steps: 20
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
|
||||
weight_decay: 0.0
|
||||
special_tokens:
|
||||
pad_token: <|finetune_right_pad_id|>
|
||||
eos_token: <|eot|>
|
||||
@@ -1,89 +0,0 @@
|
||||
base_model: axolotl-quants/Llama-4-Scout-17B-16E-Linearized-bnb-nf4-bf16
|
||||
model_type: Llama4ForConditionalGeneration
|
||||
processor_type: Llama4Processor
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
# these 3 lines are needed for now to handle vision chat templates w images
|
||||
skip_prepare_dataset: true
|
||||
remove_unused_columns: false
|
||||
sample_packing: false
|
||||
|
||||
sequence_len: 4096
|
||||
|
||||
plugins:
|
||||
- axolotl.integrations.liger.LigerPlugin
|
||||
|
||||
liger_glu_activation: true
|
||||
liger_rms_norm: true
|
||||
liger_layer_norm: true
|
||||
|
||||
llama4_linearized_experts: true # use Axolotl's customized model
|
||||
load_in_4bit: true
|
||||
adapter: qlora
|
||||
lora_r: 32
|
||||
lora_alpha: 64
|
||||
lora_target_modules:
|
||||
- self_attn.q_proj
|
||||
- self_attn.k_proj
|
||||
- self_attn.v_proj
|
||||
- self_attn.o_proj
|
||||
- shared_expert.gate_proj
|
||||
- shared_expert.up_proj
|
||||
- shared_expert.down_proj
|
||||
- vision_adapter.mlp.fc1
|
||||
- vision_adapter.mlp.fc2
|
||||
# - experts.gate_projs.[0-9]+$
|
||||
# - experts.up_projs.[0-9]+$
|
||||
# - experts.down_projs.[0-9]+$
|
||||
lora_modules_to_save:
|
||||
- lm_head
|
||||
- embed_tokens
|
||||
|
||||
chat_template: llama4
|
||||
datasets:
|
||||
- path: HuggingFaceH4/llava-instruct-mix-vsft
|
||||
type: chat_template
|
||||
split: train[:1%]
|
||||
field_messages: messages
|
||||
|
||||
dataset_prepared_path: last_run_prepared
|
||||
val_set_size: 0.0
|
||||
output_dir: ./outputs/out
|
||||
|
||||
gradient_accumulation_steps: 1
|
||||
micro_batch_size: 1
|
||||
num_epochs: 1
|
||||
optimizer: adamw_torch_4bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 1e-4
|
||||
|
||||
bf16: true
|
||||
tf32: true
|
||||
|
||||
logging_steps: 1
|
||||
flex_attention: true
|
||||
flex_attn_compile_kwargs:
|
||||
dynamic: false
|
||||
mode: max-autotune-no-cudagraphs
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- auto_wrap
|
||||
- full_shard
|
||||
fsdp_config:
|
||||
fsdp_version: 2
|
||||
fsdp_offload_params: false
|
||||
fsdp_cpu_ram_efficient_loading: true
|
||||
fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
|
||||
fsdp_transformer_layer_cls_to_wrap: Llama4TextDecoderLayer
|
||||
fsdp_state_dict_type: SHARDED_STATE_DICT
|
||||
fsdp_sharding_strategy: FULL_SHARD
|
||||
fsdp_reshard_after_forward: true
|
||||
fsdp_activation_checkpointing: true
|
||||
special_tokens:
|
||||
pad_token: <|finetune_right_pad_id|>
|
||||
eos_token: <|eot|>
|
||||
@@ -1,5 +1,6 @@
|
||||
base_model: llava-hf/llava-1.5-7b-hf
|
||||
processor_type: AutoProcessor
|
||||
strict: false
|
||||
|
||||
# these 3 lines are needed for now to handle vision chat templates w images
|
||||
skip_prepare_dataset: true
|
||||
@@ -40,11 +41,14 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: true
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
flash_attention: true
|
||||
eager_attention:
|
||||
@@ -52,4 +56,8 @@ eager_attention:
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
|
||||
@@ -6,6 +6,10 @@ tokenizer_config: EleutherAI/gpt-neox-20b
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
type: alpaca
|
||||
@@ -34,17 +38,27 @@ train_on_inputs: false
|
||||
group_by_length: true
|
||||
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: false
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
tokens:
|
||||
save_safetensors: False
|
||||
|
||||
@@ -7,6 +7,10 @@ tokenizer_type: LlamaTokenizer
|
||||
|
||||
trust_remote_code: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
unfrozen_parameters:
|
||||
- ^lm_head.weight$
|
||||
- ^model.embed_tokens.weight$
|
||||
@@ -36,19 +40,27 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0001
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
save_total_limit: 1
|
||||
save_steps:
|
||||
|
||||
debug:
|
||||
deepspeed: deepspeed_configs/zero3_bf16_cpuoffload_params.json
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
eos_token: "<|im_end|>"
|
||||
tokens:
|
||||
|
||||
@@ -5,6 +5,10 @@ tokenizer_type: LlamaTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
type: alpaca
|
||||
@@ -30,16 +34,28 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.000005
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -5,6 +5,10 @@ tokenizer_type: LlamaTokenizer
|
||||
# Automatically upload checkpoint and final model to HF
|
||||
# hub_model_id: username/custom_model_name
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
type: alpaca
|
||||
@@ -24,6 +28,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
lora_target_modules:
|
||||
- gate_proj
|
||||
- down_proj
|
||||
@@ -46,13 +51,18 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16: false
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: false
|
||||
sdp_attention: true
|
||||
|
||||
@@ -61,6 +71,12 @@ loss_watchdog_patience: 3
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_table_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: LlamaTokenizer
|
||||
|
||||
load_in_8bit: true
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: mhenrichsen/alpaca_2k_test
|
||||
@@ -26,6 +27,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
lora_target_modules:
|
||||
- gate_proj
|
||||
- down_proj
|
||||
@@ -48,12 +50,18 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -61,6 +69,12 @@ loss_watchdog_patience: 3
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -12,6 +12,7 @@ tokenizer_type: LlamaTokenizer
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
chat_template: chatml
|
||||
rl: dpo
|
||||
@@ -39,6 +40,7 @@ lora_r: 8
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.2
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
lora_target_modules:
|
||||
- gate_proj
|
||||
@@ -65,18 +67,31 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0001
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: false
|
||||
s2_attention:
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
bos_token: "<|im_start|>"
|
||||
eos_token: "<|im_end|>"
|
||||
|
||||
@@ -9,6 +9,7 @@ trust_remote_code: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: tatsu-lab/alpaca
|
||||
@@ -31,6 +32,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -45,12 +47,18 @@ optimizer: paged_adamw_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -58,8 +66,10 @@ loss_watchdog_patience: 3
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- full_shard
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: LlamaTokenizer
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
rl: orpo
|
||||
orpo_alpha: 0.1
|
||||
@@ -31,6 +32,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
lora_target_modules:
|
||||
- gate_proj
|
||||
- down_proj
|
||||
@@ -53,12 +55,18 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -66,6 +74,12 @@ loss_watchdog_patience: 3
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
base_model: mistralai/Mistral-Small-3.1-24B-Instruct-2503
|
||||
processor_type: AutoProcessor
|
||||
strict: false
|
||||
|
||||
load_in_8bit: true
|
||||
|
||||
@@ -42,11 +43,14 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: true
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
flash_attention: false # PixtralVisionModel does not support Flash Attention 2.0 yet.
|
||||
eager_attention:
|
||||
@@ -54,5 +58,9 @@ eager_attention:
|
||||
warmup_ratio: 0.1
|
||||
evals_per_epoch: 1
|
||||
saves_per_epoch: 1
|
||||
debug:
|
||||
deepspeed:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
@@ -7,6 +7,7 @@ tokenizer_type: LlamaTokenizer
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: tatsu-lab/alpaca
|
||||
@@ -29,6 +30,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -43,12 +45,18 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -56,8 +64,10 @@ loss_watchdog_patience: 3
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- full_shard
|
||||
|
||||
@@ -9,6 +9,7 @@ trust_remote_code: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: tatsu-lab/alpaca
|
||||
@@ -31,6 +32,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
|
||||
wandb_project:
|
||||
wandb_entity:
|
||||
@@ -45,12 +47,18 @@ optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: true
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -58,8 +66,10 @@ loss_watchdog_patience: 3
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- full_shard
|
||||
|
||||
@@ -9,6 +9,7 @@ trust_remote_code: true
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: true
|
||||
strict: false
|
||||
|
||||
datasets:
|
||||
- path: tatsu-lab/alpaca
|
||||
@@ -40,6 +41,7 @@ lora_r: 32
|
||||
lora_alpha: 16
|
||||
lora_dropout: 0.05
|
||||
lora_target_linear: true
|
||||
lora_fan_in_fan_out:
|
||||
#lora_target_modules:
|
||||
# - gate
|
||||
# - q_proj
|
||||
@@ -63,12 +65,18 @@ optimizer: adamw_bnb_8bit
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 0.0002
|
||||
|
||||
train_on_inputs: false
|
||||
group_by_length: false
|
||||
bf16: auto
|
||||
fp16:
|
||||
tf32: false
|
||||
|
||||
gradient_checkpointing: true
|
||||
early_stopping_patience:
|
||||
resume_from_checkpoint:
|
||||
local_rank:
|
||||
logging_steps: 1
|
||||
xformers_attention:
|
||||
flash_attention: true
|
||||
|
||||
loss_watchdog_threshold: 5.0
|
||||
@@ -76,8 +84,12 @@ loss_watchdog_patience: 3
|
||||
|
||||
warmup_steps: 10
|
||||
evals_per_epoch: 4
|
||||
eval_table_size:
|
||||
eval_max_new_tokens: 128
|
||||
saves_per_epoch: 1
|
||||
|
||||
debug:
|
||||
deepspeed: deepspeed_configs/zero2.json
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
fsdp_config:
|
||||
special_tokens:
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user