bert-base-cased_smell-doc – AI Model by aieng-lab | AlphaNeural AI

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aieng-lab/
bert-base-cased_smell-doc

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text-classification

google-bert/bert-base-cased

autotrain_compatible

endpoints_compatible

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BERT base for classifying smell documentation (multi-label)

This model classifies smell documentation as 'fragmented', 'tangled', 'excessive', 'bloated' or 'lazy'.

Developed by: Fabian C. Peña, Steffen Herbold
Finetuned from: bert-base-cased
Replication kit: https://github.com/aieng-lab/senlp-benchmark
Language: English
License: MIT

Citation

@misc{pena2025benchmark,
  author    = {Fabian Peña and Steffen Herbold},
  title     = {Evaluating Large Language Models on Non-Code Software Engineering Tasks},
  year      = {2025}
}