agentsclimarketplace

Run2 pytorch preference optimization

Skill cxcscmu/SkillLearnBench/skills/b2-self-feedback-claude-opus-4-6/nlp-paper-reproduction/run2_pytorch-preference-optimization

[COLM'26] SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.

Install
npx -y skills add cxcscmu/SkillLearnBench --skill run2_pytorch-preference-optimization

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Environment setup and testing patterns for SimPO preference optimization with PyTorch.

SKILL.md

1.2 KB, as published. Nobody here has run it

PyTorch Preference Optimization Environment

Required Environment

  • Python 3.10 (deadsnakes PPA on Ubuntu 24.04)
  • torch==2.2.2 (CPU or CUDA)
  • transformers==4.44.2
  • trl==0.9.6
  • accelerate==0.29.2
  • peft==0.7.1
  • datasets==2.18.0
  • numpy==1.26.4
  • rich (required by trl.trainer.utils)

Setup Steps

# Install Python 3.10
add-apt-repository -y ppa:deadsnakes/ppa
apt-get install -y python3.10 python3.10-venv python3.10-dev

# Create venv
python3.10 -m venv /root/simpo_env
source /root/simpo_env/bin/activate

# Install packages
pip install torch==2.2.2 --index-url https://download.pytorch.org/whl/cpu
pip install transformers==4.44.2 accelerate==0.29.2 datasets==2.18.0 \
    trl==0.9.6 peft==0.7.1 numpy==1.26.4 rich

Key Gotcha

  • trl==0.9.6 depends on rich but doesn't declare it as a dependency. Must install separately.

Running Tests

cd /root/SimPO
source /root/simpo_env/bin/activate
python -m unittest unit_test.unit_test_1

Logging Environment

(python -VV && echo "---" && python -m pip freeze) > /root/python_info.txt

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.