https://github.com/aise-tudelft/stacc

STACC: a set of SentenceTransformer Assisted Comment Classifiers

https://github.com/aise-tudelft/stacc

Science Score: 36.0%

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Repository

STACC: a set of SentenceTransformer Assisted Comment Classifiers

Basic Info
  • Host: GitHub
  • Owner: AISE-TUDelft
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 120 KB
Statistics
  • Stars: 6
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 3 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License

README.md

STACC: a set of SentenceTransformer Assisted Comment Classifiers 📚

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This repository contains our notebooks for the train, test and use STACC, our submission to the NLBSE'23 Code Comment Classification tool competition.

Quickstart Guide

Install SetFit with the Optuna backend:

pip install setfit[optuna]

Now you're ready to roll

Notebook Descriptions:

  • 1-Model_selection.ipynb outlines how we selected the base model and tuned the hyperparameters
  • 2-Creating_classifiers.ipynb shows how we created the 19 classifiers that make up STACC 📚
  • 3-Inference.ipynb shows how you can put STACC to good use by loading a classifier and start predicting.

Google Colab

If you wish to run the notebooks in Google Colab we provide the following ready-to-go notebooks: - 1-Model_selection - 2-Creating_classifiers.ipynb - 3-Inference.ipynb

Huggingface Space

We also integrated STACC 📚 in a Huggingface space.

image

Citation

@software{STACC_2023, author = {Al-Kaswan, Ali and Izadi, Maliheh and van Deursen, Arie}, year = {2023}, title = {STACC: a set of SentenceTransformer Assisted Comment Classifiers}, url = {https://github.com/AISE-TUDelft/STACC}, version = {1.0}

Owner

  • Name: AISE-TUDelft
  • Login: AISE-TUDelft
  • Kind: organization

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