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--- |
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datasets: |
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- bigscience/P3 |
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language: |
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- en |
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metrics: |
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- accuracy |
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pipeline_tag: sentence-similarity |
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--- |
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# Model Card: Paraphrase Identification |
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## Model Details |
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- **Model Name**: ParaBERT |
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- **Description**: A fine-tuned paraphrase identification model based on BERT |
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- **Author**: Lucie Gabagnou, Armand L'Huillier, Yanis Rehoune, Ghiles Idris |
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- **Language**: Pytorch |
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## Intended Use |
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- **Primary intended uses**: This model is designed to identify whether two questions are paraphrases of each other. |
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- **Primary intended users**: This model is intended for use by NLP researchers and developers who are working on tasks related to paraphrase identification. |
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- **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. |
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## Model Architecture and Training Data |
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- **Model Architecture**: BERT |
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- **Training Data**: https://huggingface.co/datasets/bigscience/P3/viewer/glue_qqp_same_thing/train (Only questions) |
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## Evaluation Data and Results |
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- **Evaluation Data**: https://huggingface.co/datasets/bigscience/P3/viewer/glue_qqp_same_thing/test |
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- **Metrics**: Accuracy |
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- **Results**: 0.95 |
