flan-t5-base-peft-dialogue-summary-before Open-source Model - Dedicated to Dialogue Summarization, Efficient Fine-tuning and Highly Practical

Flan T5 Base Peft Dialogue Summary Before

Developed by agoor97

A fine-tuned version of the google/flan-t5-base model for dialogue summarization tasks, using PEFT for parameter-efficient fine-tuning

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Release Time : 4/12/2025

Model Overview

This model is a T5 variant optimized for dialogue summarization tasks, capable of compressing dialogue content into concise summaries

Parameter-Efficient Fine-Tuning

Uses PEFT (Parameter-Efficient Fine-Tuning) method for fine-tuning, significantly reducing training resource requirements

Dialogue Summarization Optimization

Specially optimized for dialogue summarization tasks, capable of understanding dialogue context and generating accurate summaries

Based on FLAN-T5

Built on the powerful FLAN-T5 base model, inheriting its excellent text understanding and generation capabilities

Dialogue summarization

Text compression

Natural language understanding

Text generation

Dialogue Analysis

Customer Service Dialogue Summarization

Automatically generates key summaries of customer service dialogues to help quickly understand customer issues and solutions

Meeting Minutes Summarization

Compresses meeting dialogue content into key decision points and action items

Training Loss	Epoch	Step	Validation Loss
0.2229	1.0	6230	0.0904

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