# ROUGE Evaluation

A text summarization model trained based on the mt5-base architecture, capable of extracting key information from text to generate summaries.

An improved Khmer text summarization model based on mT5-small, supporting inputs of up to 1024 tokens, suitable for summarizing Khmer articles, paragraphs, or documents.

A Turkish news text summarization model based on the mT5 architecture, trained on a dataset of Turkish economic and current affairs news, capable of generating core content summaries of news texts.

A financial document summarization model fine-tuned from T5-small, trained on the searde/dataset-financial-documents-3 dataset

A text summarization generation model fine-tuned on the multi_news dataset based on facebook/bart-base

This model is a text summarization model fine-tuned on the multi_news dataset based on facebook/bart-base, specifically designed for multi-document summarization tasks.

A text summarization model fine-tuned based on barthez-orangesum-title, specializing in generating headline-style summaries

A fine-tuned abstract generation model based on barthez-orangesum-title, trained on an unknown dataset, supporting French text summarization tasks.

This is a pre-trained model based on the BART architecture, primarily used for summary generation and difference comparison tasks.

An English summarization model fine-tuned from google/mt5-base on the wikinews dataset, suitable for news summarization tasks.

A sequence-to-sequence model based on the BART architecture, specifically fine-tuned for meeting and dialogue summarization tasks, capable of generating abstractive summaries from various dialogue data.

This is an automatic podcast summary generation model fine-tuned based on the T5-base model, trained using the Spotify podcast dataset.

This model is a summarization generation model trained on the CNN/Daily Mail dataset, primarily used for generating concise summaries of news articles.

A summarization model trained on the CNN/Daily Mail dataset, capable of automatically generating concise summaries of news articles.