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Mamba Nli Ensemble

Developed by patrickmlml
A binary natural language inference classifier fine-tuned on the COMP34812 dataset based on the Mamba state space model
Downloads 15
Release Time : 3/19/2025

Model Overview

This model is a classifier for binary natural language inference tasks, capable of determining whether an entailment relationship exists between a premise and a hypothesis.

Model Features

Efficient Architecture
Utilizes the Mamba state space model, offering higher efficiency compared to traditional Transformer architectures
Binary Classification
Focuses on determining binary entailment relationships between premises and hypotheses
Fast Training
Training completes in just 1 hour and 17 minutes on a T4 GPU

Model Capabilities

Text Classification
Natural Language Inference
Entailment Relationship Judgment

Use Cases

Natural Language Processing
Text Entailment Detection
Determines whether a given premise entails a specific hypothesis
Achieves 82.4% accuracy on the test set
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