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Long T5 Tglobal Base Synthsumm Direct

Developed by pszemraj
A text summarization model based on the Long-T5 architecture, fine-tuned using the synthetic dataset synthsumm, specializing in long text summarization tasks.
Downloads 15
Release Time : 11/25/2023

Model Overview

This model is a text summarization model fine-tuned from google/long-t5-tglobal-base, specifically optimized for long text summarization tasks and trained on a synthetic dataset generated by GPT-3.5-turbo-1106.

Model Features

Long Text Summarization Optimization
Specifically optimized for long text summarization tasks, capable of handling long documents across multiple domains.
Synthetic Data Training
Fine-tuned using a synthetic dataset generated by GPT-3.5-turbo-1106, enhancing the model's summarization capabilities.
Efficient Inference
Supports beam search decoding for efficient text summarization generation.

Model Capabilities

Long text summarization generation
Multi-domain text processing
Efficient inference

Use Cases

Document Processing
Long Document Summarization
Generates concise summaries for long articles, reports, or documents.
Achieved Rouge1 score of 48.0918 on the validation set
Multi-domain Content Summarization
Processes text content from different domains and generates summaries.
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