Add medical and finance dataset #25
Workflow file for this run
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name: UnitTests for Fine-tuning LLMs | |
on: | |
pull_request: | |
types: [opened, synchronize, edited] | |
jobs: | |
run: | |
if: false == contains(github.event.pull_request.title, 'WIP') | |
runs-on: ${{ matrix.os }} | |
timeout-minutes: 20 | |
strategy: | |
matrix: | |
os: [ubuntu-latest] | |
python-version: ['3.9'] | |
torch-version: ['2.0.0'] | |
torchvision-version: ['0.15.0'] | |
torchaudio-version: ['2.0.0'] | |
env: | |
OS: ${{ matrix.os }} | |
PYTHON: '3.9' | |
steps: | |
- uses: actions/checkout@master | |
- name: Setup Python ${{ matrix.python-version }} | |
uses: actions/setup-python@master | |
with: | |
python-version: ${{ matrix.python-version }} | |
- name: Install PyTorch ${{ matrix.torch-version }}+cpu | |
run: | | |
pip install numpy typing-extensions dataclasses | |
pip install torch==${{ matrix.torch-version}}+cpu torchvision==${{matrix.torchvision-version}}+cpu torchaudio==${{matrix.torchaudio-version}}+cpu -f https://download.pytorch.org/whl/torch_stable.html | |
- name: Install FS | |
run: | | |
pip install -e .[llm,test] | |
- name: Test GPT2 | |
run: | | |
python federatedscope/main.py --cfg federatedscope/llm/baseline/testcase.yaml federate.total_round_num 1 eval.count_flops False train.local_update_steps 2 data.splits "[0.998, 0.001, 0.001]" | |
[ $? -eq 1 ] && exit 1 || echo "Passed" | |
- name: Test GPT2 with offsite-tuning | |
run: | | |
python federatedscope/main.py --cfg federatedscope/llm/baseline/testcase.yaml federate.total_round_num 1 eval.count_flops False llm.offsite_tuning.use True llm.offsite_tuning.emu_l 2 llm.offsite_tuning.emu_r 10 train.local_update_steps 2 data.splits "[0.998, 0.001, 0.001]" | |
[ $? -eq 1 ] && exit 1 || echo "Passed" |