| --- |
| library_name: transformers |
| license: mit |
| language: |
| - en |
| metrics: |
| - seqeval |
| base_model: |
| - microsoft/codebert-base |
| pipeline_tag: token-classification |
| --- |
| |
| # CodeBERT base for detecting software engineering terminology |
|
|
| 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'. |
|
|
| - **Developed by:** Fabian C. Peña, Steffen Herbold |
| - **Finetuned from:** [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) |
| - **Replication kit:** [https://github.com/aieng-lab/senlp-benchmark](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} |
| } |
| ``` |
|
|
