# High ROUGE score

This is a sequence-to-sequence model based on VietAI/vit5-base, trained using AutoTrain for text generation tasks.

A text summarization model fine-tuned based on T5-small, specifically designed to generate concise, coherent, and informative summaries from lengthy texts.

KoT5 is a Korean text summarization model based on the T5 architecture, specifically optimized for Korean text summarization tasks.

A summarization generation model fine-tuned based on Ameer05/tokenizer-repo, performing well on ROUGE metrics

An optimized mT5-small model for Persian text summarization tasks, trained on pn_summary dataset

A large-scale summarization model based on the BART architecture, fine-tuned specifically on the xsum dataset, excelling at generating concise news summaries.

This model is a Persian text summarization model based on the mT5-base architecture, specifically optimized for the pn_summary dataset, capable of generating high-quality Persian text summaries.

This model is a fine-tuned version of google/pegasus-large on the Reddit dataset, primarily used for text-to-text generation tasks.