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T5 Small Finetuned Contradiction
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T5 Small Finetuned Contradiction

Developed by domenicrosati
A text generation model based on the T5-small architecture fine-tuned on the SNLI dataset, specializing in contradiction relation recognition and summarization tasks
Text Generation
Transformers
Open Source License:Apache-2.0#Contradiction Text Generation#SNLI Fine-tuning#Rouge Optimization
Downloads 21
Release Time : 4/23/2022

Model Overview

This model is a fine-tuned version of T5-small on the SNLI dataset, primarily used for sequence-to-sequence text generation tasks, especially contradiction relation recognition and summarization.

Model Features

SNLI Dataset Fine-tuning
Optimized specifically for natural language inference tasks, particularly excelling in contradiction relation recognition
Efficient Text Generation
Based on the T5-small architecture, it maintains good performance while offering high inference efficiency
Multi-metric Evaluation
Comprehensively evaluated using Rouge series metrics to ensure the quality of generated text

Model Capabilities

Text-to-text generation
Contradiction relation recognition
Summarization
Natural language inference

Use Cases

Natural Language Processing
Contradiction Relation Detection
Identify logical contradiction relationships between two pieces of text
Achieved a Rouge1 score of 34.42 on the SNLI dataset
Text Summarization
Generate concise summaries based on input text
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