Model Card: Paraphrase Identification
Model Details
- Model Name: ParaBERT
- Description: A fine-tuned paraphrase identification model based on BERT
- Author: Lucie Gabagnou, Armand L'Huillier, Yanis Rehoune, Ghiles Idris
- Language: Pytorch
Intended Use
- Primary intended uses: This model is designed to identify whether two questions are paraphrases of each other.
- Primary intended users: This model is intended for use by NLP researchers and developers who are working on tasks related to paraphrase identification.
- Out-of-scope use cases: This model should not be used for tasks outside of paraphrase identification, or in situations where the input data may contain sensitive or confidential information.
Model Architecture and Training Data
Evaluation Data and Results
