# mT5 Fine-tuning

This is an mT5-small model fine-tuned on a multilingual Amazon review dataset, specifically designed for generating product review summaries in English and German.

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.

This is an mT5 model fine-tuned for Khmer text summarization tasks, based on Google's mT5-small model. It was fine-tuned on a Khmer text dataset and can generate concise and semantically rich Khmer text summaries.

This is a fine-tuned mT5 model for generating questions from Persian text.

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 multilingual news summarization model based on mT5-base, supporting news headline and summary generation in 45 languages

A Chinese text summarization model fine-tuned based on mT5, trained on diverse Chinese datasets, capable of generating coherent and concise summaries for various texts.

An mT5-base fine-tuned model specifically designed for generating German news-style headlines

A Thai sentence summarization model fine-tuned based on mT5-base, developed by Computer Engineering students at King Mongkut's University of Technology Thonburi

An abstract generation model fine-tuned from mT5-small, supporting Chinese text summarization tasks

A multilingual summarization model based on the mT5 architecture that can summarize texts in multiple languages into Russian

A multilingual summarization model fine-tuned on the CrossSum dataset, supporting cross-lingual summarization across 45 languages

An English to Yoruba machine translation model fine-tuned on mT5-base, trained on JW300 and Menyo-20k datasets