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Setfit Contracts Clauses

Developed by scholarly360
This is a text classification model based on the SetFit framework, specifically designed for contract clause classification tasks with an accuracy of 94.25%.
Downloads 100
Release Time : 5/11/2024

Model Overview

The model uses sentence-transformers/all-MiniLM-L6-v2 as the sentence embedding model, combined with a logistic regression classification head, trained through efficient few-shot learning techniques, suitable for automatic classification of legal contract clauses.

Model Features

Efficient Few-shot Learning
Utilizes the SetFit framework to achieve efficient few-shot learning through contrastive learning and logistic regression classification head.
High Accuracy
Achieves 94.25% accuracy in contract clause classification tasks.
Domain-Specific Optimization
Specifically optimized for legal contract clause texts.

Model Capabilities

Contract Clause Classification
Legal Text Analysis
Few-shot Learning

Use Cases

Legal Tech
Automatic Contract Clause Classification
Automatically identifies and classifies various clauses in contracts.
Accuracy rate of 94.25%
Legal Document Analysis
Assists legal professionals in quickly analyzing contract documents.
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