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Roberta Large Mnli

Developed by prajjwal1
Roberta-large model trained on the MNLI dataset for natural language inference tasks.
Large Language Model
Transformers
#Natural Language Inference#High-precision NLI#Textual Entailment Recognition
Downloads 31
Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version of the RoBERTa-large architecture on the MNLI dataset, specifically designed for Natural Language Inference (NLI) tasks. It can determine the logical relationship (entailment, contradiction, or neutral) between two sentences.

Model Features

High Accuracy
Achieves over 90% accuracy on the MNLI and MNLI-mm test sets.
Based on RoBERTa-large
Utilizes the powerful RoBERTa-large pre-trained model as its foundational architecture.
Specialized for NLI Tasks
Optimized specifically for Natural Language Inference tasks.

Model Capabilities

Natural Language Inference
Text Relationship Judgment
Sentence Pair Classification

Use Cases

Text Analysis
Logical Relationship Judgment
Determines whether the relationship between two sentences is entailment, contradiction, or neutral.
Accuracy exceeds 90%
Education
Reading Comprehension Assistance
Helps students understand logical relationships between texts.
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