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Pushing model, tokenizer and model card

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README.md ADDED
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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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+ - f1
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+ - precision
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+ - recall
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+ base_model:
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+ - microsoft/codebert-base
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+ pipeline_tag: text-classification
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+ ---
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+
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+ # CodeBERT base for classifying API reviews
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+
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+ This model classifies API reviews in developer forums (e.g., Stack Overflow) as 'usability', 'others', 'onlysentiment', 'bug', 'performance', 'community', 'documentation', 'compatibility', 'legal', 'portability' or 'security'.
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+
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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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+
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+ ## Citation
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+
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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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+ ```
config.json ADDED
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+ "problem_type": "multi_label_classification",
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+ }
merges.txt ADDED
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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vocab.json ADDED
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