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Distilbart Ftn Wiki Lingua

Developed by datien228
This is a BART model fine-tuned on the English WikiLingua dataset, primarily used for research on summarization task performance.
Downloads 20
Release Time : 7/3/2022

Model Overview

This model is based on the BART architecture and fine-tuned on the WikiLingua dataset for generating short summaries. It is mainly intended for research purposes to explore the performance of pre-trained models in summarization tasks.

Model Features

Fine-tuned on WikiLingua
Optimized specifically for the WikiLingua dataset, suitable for generating short summaries.
Inherits BART advantages
Retains the sequence-to-sequence transformation capabilities of the original BART model.
Research-oriented
Primarily used for studying the performance of fine-tuned models in summarization tasks.

Model Capabilities

Text summarization
English text processing

Use Cases

Research applications
Summarization performance research
Used to study the performance of pre-trained models in summarization tasks.
The model tends to extract opening sentences as summaries, with room for improvement in capturing key points.
Text processing
English document summarization
Generates short summaries for English documents.
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