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Add medical and finance dataset #25

Add medical and finance dataset

Add medical and finance dataset #25

Workflow file for this run

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"