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Article2kw Test1 Barthez Orangesum Title Finetuned For Summurization
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Article2kw Test1 Barthez Orangesum Title Finetuned For Summurization

Developed by bthomas
A fine-tuned abstract generation model based on barthez-orangesum-title, trained on an unknown dataset, supporting French text summarization tasks.
Text Generation
Transformers
Open Source License:Apache-2.0#French Abstract Generation#BART Architecture Optimization#Low-resource Fine-tuning
Downloads 19
Release Time : 8/17/2022

Model Overview

This model is a fine-tuned version of barthez-orangesum-title, specifically designed for text summarization tasks. It achieved a Rouge1 score of 0.2048 on the evaluation set.

Model Features

French Abstract Generation
Specialized summarization capability optimized for French texts
BART-based Architecture
Utilizes the BART pre-trained model architecture with excellent sequence-to-sequence generation capabilities
Precise Fine-tuning
Underwent 3 rounds of precise fine-tuning on specific datasets to optimize summarization quality

Model Capabilities

French text summarization
Sequence-to-sequence text transformation

Use Cases

Content Summarization
News Article Summarization
Automatically generates key summaries of news articles
Rouge1 score 0.2048
Document Compression
Condenses long documents into concise summaries
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