malicious-finetune-lm-eval
https://github.com/jinxiaolong1129/malicious-finetune-lm-eval
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.8%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: Jinxiaolong1129
- License: mit
- Language: Python
- Default Branch: main
- Size: 4.4 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 1 year ago
· Last pushed 12 months ago
Metadata Files
Readme
Contributing
License
Citation
Codeowners
README.md
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Owner
- Name: Jxl
- Login: Jinxiaolong1129
- Kind: user
- Repositories: 0
- Profile: https://github.com/Jinxiaolong1129
With great power comes great responsibility!
Citation (CITATION.bib)
@misc{eval-harness,
author = {Gao, Leo and Tow, Jonathan and Abbasi, Baber and Biderman, Stella and Black, Sid and DiPofi, Anthony and Foster, Charles and Golding, Laurence and Hsu, Jeffrey and Le Noac'h, Alain and Li, Haonan and McDonell, Kyle and Muennighoff, Niklas and Ociepa, Chris and Phang, Jason and Reynolds, Laria and Schoelkopf, Hailey and Skowron, Aviya and Sutawika, Lintang and Tang, Eric and Thite, Anish and Wang, Ben and Wang, Kevin and Zou, Andy},
title = {A framework for few-shot language model evaluation},
month = 12,
year = 2023,
publisher = {Zenodo},
version = {v0.4.0},
doi = {10.5281/zenodo.10256836},
url = {https://zenodo.org/records/10256836}
}
GitHub Events
Total
- Push event: 9
- Create event: 1
Last Year
- Push event: 9
- Create event: 1
Dependencies
.github/workflows/new_tasks.yml
actions
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.github/workflows/publish.yml
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.github/workflows/unit_tests.yml
actions
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lm_eval/tasks/japanese_leaderboard/requirements.txt
pypi
- emoji ==2.14.0
- fugashi *
- neologdn ==0.5.3
- rouge_score >=0.1.2
pyproject.toml
pypi
- accelerate >=0.26.0
- datasets >=2.16.0
- dill *
- evaluate >=0.4.0
- evaluate *
- jsonlines *
- more_itertools *
- numexpr *
- peft >=0.2.0
- pybind11 >=2.6.2
- pytablewriter *
- rouge-score >=0.0.4
- sacrebleu >=1.5.0
- scikit-learn >=0.24.1
- sqlitedict *
- torch >=1.8
- tqdm-multiprocess *
- transformers >=4.1
- word2number *
- zstandard *
requirements.txt
pypi
setup.py
pypi