# ROUGE optimization

Indonesian text summarization model fine-tuned from facebook/bart-large-cnn

A fine-tuned version based on the google/mt5-small model on an unknown dataset, primarily used for English to Spanish summarization tasks.

A Russian abstract generation model fine-tuned on the gazeta dataset based on google/mt5-small

A BART fine-tuned model for long legal document summarization, employing multi-stage summarization approach for complex legal texts

A headline generation model fine-tuned on Ukrainian news datasets based on the multilingual mT5 model, capable of generating concise and accurate headlines for Ukrainian news articles.

An English-to-Spanish translation model fine-tuned based on facebook/mbart-large-50, achieving a BLEU score of 45.09 on the evaluation set.

An mT5 model fine-tuned on the XL-Sum dataset for 45 languages, designed for multilingual summarization tasks.

A text summarization generation model fine-tuned based on google/mt5-small, supporting multilingual text summarization tasks.

This model is specifically designed to summarize Amazon product reviews, generating concise summaries.

This model is a fine-tuned Pegasus architecture for Hungarian text summarization, optimized specifically for Hungarian summarization tasks

This model is a Hungarian summarization generation model fine-tuned on mBART-large-50, specifically designed for generating abstractive summaries of Hungarian texts.

A general-purpose summarizer based on the 3B-parameter google/flan-t5-xl model fine-tuned on multiple summarization datasets, suitable for academic and general scenarios.

Hungarian abstractive summarization model trained on the mT5-small architecture using the HunSum-1 dataset

Hungarian abstractive summarization model based on mT5-base architecture, trained on HunSum-1 dataset

This is a summarization model based on T5-large fine-tuned on the XSUM dataset, specifically designed for generating concise and accurate text summaries.

mT5 model fine-tuned on XL-Sum dataset for 45 languages, designed for multilingual summarization tasks

This is a text summarization model based on the mT5-small architecture, fine-tuned on the German MLSUM dataset

A fine-tuned abstract generation model based on PegasusXSUM for German datasets

A text summarization model fine-tuned on German datasets based on the T5-Base architecture