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Flan T5 11b Summarizer Filtered

Developed by jordiclive
This is a version fine-tuned on multiple summarization datasets based on the google/flan-t5-xxl model, aiming to create a multi-functional summarizer suitable for both academic and general scenarios.
Downloads 492
Release Time : 2/7/2023

Model Overview

By fine-tuning on multiple summarization datasets (xsum, wikihow, cnn_dailymail/3.0.0, etc.), this model can generate different types of summaries based on various prompts. 70% of the training data was filtered using contriever to improve quality.

Model Features

Multi-functional Summarization
By changing the prompts, different types of summaries can be generated (e.g., social media summaries, ten-word summaries, five-word summaries, etc.).
Multi-dataset Training
Fine-tuned on multiple high-quality summarization datasets, enhancing the model's generalization capability.
Data Filtering
70% of the training data was filtered using contriever to improve the quality of the training data.

Model Capabilities

Text Summarization
Length-controllable Summary Generation
Multi-type Summary Generation

Use Cases

Content Summarization
News Summarization
Generate concise summaries for news articles
Can produce news summaries of varying lengths as required
Academic Paper Summarization
Generate technical summaries for academic papers
Capable of capturing key information and generating professional summaries
Social Media Content Summarization
Generate brief summaries for social media posts
Can create short summaries suitable for social media dissemination
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