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--- |
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library_name: transformers |
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license: mit |
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language: |
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- en |
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metrics: |
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- seqeval |
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base_model: |
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- microsoft/codebert-base |
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pipeline_tag: token-classification |
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--- |
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# CodeBERT base for detecting software engineering terminology |
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This model detects software engineering terminology in developer forums (e.g., Stack Overflow) as 'Data_Structure', 'Application', 'Code_Block', 'Function", 'Data_Type', 'Language', 'Library', 'Variable', 'Device', 'User_Name', 'User_Interface_Element', 'Class', 'Website', 'Version', 'File_Name', 'File_Type', 'Operating_System', 'Output_Block', 'Algorithm' or 'HTML_XML_Tag'. |
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- **Developed by:** Fabian C. Peña, Steffen Herbold |
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- **Finetuned from:** [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) |
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- **Replication kit:** [https://github.com/aieng-lab/senlp-benchmark](https://github.com/aieng-lab/senlp-benchmark) |
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- **Language:** English |
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- **License:** MIT |
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## Citation |
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``` |
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@misc{pena2025benchmark, |
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author = {Fabian Peña and Steffen Herbold}, |
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title = {Evaluating Large Language Models on Non-Code Software Engineering Tasks}, |
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year = {2025} |
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} |
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``` |
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