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Modernbert Large Nli

Developed by tasksource
A natural language inference model optimized through multi-task fine-tuning based on the ModernBERT-large model, excelling in zero-shot classification and NLI tasks.
Downloads 61.52k
Release Time : 1/4/2025

Model Overview

This model is a ModernBERT fine-tuned on multiple natural language inference tasks, particularly adept at zero-shot classification, sentiment analysis, and long-context reasoning.

Model Features

Multi-task fine-tuning
Fine-tuned on multiple NLI tasks (including MNLI, ANLI, SICK, etc.), enhancing the model's generalization capabilities.
Zero-shot classification capability
Outperforms models like llama 3.1 8B Instruct in zero-shot classification tasks.
Long-context reasoning
Excels at handling long-context reasoning tasks, demonstrating strong performance in complex logical reasoning scenarios.

Model Capabilities

Natural language inference
Zero-shot classification
Sentiment analysis
Long-context reasoning
Logical reasoning

Use Cases

Text classification
Zero-shot classification
Classify new categories without specific training
Achieves 0.79 accuracy on the zero-shot-label-nli dataset
Natural language understanding
Text entailment judgment
Determine logical relationships between texts (entailment/contradiction/neutral)
Achieves 0.89 accuracy on the MNLI dataset
Logical reasoning
Complex logical reasoning
Handle multi-step logical reasoning problems
Achieves 0.71 accuracy on the FOLIO dataset
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