Skip to main content

Evaluation

Project description

eval

Lint Build Release License

Python Library for Evaluation

MT-Bench / MT-Bench-Branch Testing Steps

# Optional: Use cloud-instance.sh (https://github.com/instructlab/instructlab/tree/main/scripts/infra) to launch and setup the instance
scripts/infra/cloud-instance.sh ec2 launch -t g5.4xlarge
scripts/infra/cloud-instance.sh ec2 setup-rh-devenv
scripts/infra/cloud-instance.sh ec2 install-rh-nvidia-drivers
scripts/infra/cloud-instance.sh ec2 ssh sudo reboot
scripts/infra/cloud-instance.sh ec2 ssh


# Regardless of how you setup your instance
git clone https://github.com/instructlab/taxonomy.git && pushd taxonomy && git branch rc && popd
git clone --bare https://github.com/instructlab/eval.git && git clone eval.git/ && cd eval && git remote add syncrepo ../eval.git
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
pip install -r requirements-dev.txt
pip install -e .
pip install vllm
python -m vllm.entrypoints.openai.api_server --model instructlab/granite-7b-lab --tensor-parallel-size 1

In another shell window

export INSTRUCTLAB_EVAL_FIRST_N_QUESTIONS=10 # Optional if you want to shorten run times
python3 tests/test_gen_answers.py
python3 tests/test_branch_gen_answers.py

Example output tree

eval_output/
├── mt_bench
│   └── model_answer
│       └── instructlab
│           └── granite-7b-lab.jsonl
└── mt_bench_branch
    ├── main
       ├── model_answer
          └── instructlab
              └── granite-7b-lab.jsonl
       ├── question.jsonl
       └── reference_answer
           └── instructlab
               └── granite-7b-lab.jsonl
    └── rc
        ├── model_answer
           └── instructlab
               └── granite-7b-lab.jsonl
        ├── question.jsonl
        └── reference_answer
            └── instructlab
                └── granite-7b-lab.jsonl
python3 tests/test_judge_answers.py
python3 tests/test_branch_judge_answers.py

Example output tree

eval_output/
├── mt_bench
│   ├── model_answer
│      └── instructlab
│          └── granite-7b-lab.jsonl
│   └── model_judgment
│       └── instructlab
│           └── granite-7b-lab_single.jsonl
└── mt_bench_branch
    ├── main
       ├── model_answer
          └── instructlab
              └── granite-7b-lab.jsonl
       ├── model_judgment
          └── instructlab
              └── granite-7b-lab_single.jsonl
       ├── question.jsonl
       └── reference_answer
           └── instructlab
               └── granite-7b-lab.jsonl
    └── rc
        ├── model_answer
           └── instructlab
               └── granite-7b-lab.jsonl
        ├── model_judgment
           └── instructlab
               └── granite-7b-lab_single.jsonl
        ├── question.jsonl
        └── reference_answer
            └── instructlab
                └── granite-7b-lab.jsonl

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

instructlab_eval-0.1.0.tar.gz (87.7 kB view details)

Uploaded Source

Built Distribution

instructlab_eval-0.1.0-py3-none-any.whl (57.8 kB view details)

Uploaded Python 3

File details

Details for the file instructlab_eval-0.1.0.tar.gz.

File metadata

  • Download URL: instructlab_eval-0.1.0.tar.gz
  • Upload date:
  • Size: 87.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for instructlab_eval-0.1.0.tar.gz
Algorithm Hash digest
SHA256 d5c237159d8a8230775f3636d1f214bef1725c046efe613f7a1b141973828aca
MD5 2377006f2299097615a2a6d445a749a6
BLAKE2b-256 8292139d3705fc586f62cfc661836ebcad2c918b8c2de3a51a22a40069a2f8db

See more details on using hashes here.

File details

Details for the file instructlab_eval-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for instructlab_eval-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8f8255407f69aad77740e1d9072280dd9d889e47cff4f9f8642a7ac92a5833c9
MD5 1525c200f74e447756b4f5a1e0e5f92d
BLAKE2b-256 bd08628d4729d7ef28b856313664944316bc3906d43ff255b2765fe40b86b066

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page