# Fine-tuned T5 Model

A fine-tuned T5-based text summarization model for the health domain, capable of generating precise and concise summaries for health-related long texts.

This is a T5 model fine-tuned for Indonesian text summarization tasks, developed by the SumText team at Bina Nusantara University.

A T5-based grammar correction model that fixes grammatical errors in English text and provides detailed revision records

A T5 fine-tuned model for address standardization and correction, specifically handling non-standard or erroneous US address formats

A text summarization model fine-tuned on the CNN/DailyMail news dataset based on the T5-small model, capable of generating concise summaries of news articles.

A fine-tuned T5-small model for keyphrase generation, specifically designed for scientific paper abstracts, capable of extracting both present and absent keyphrases.

A German abstract generation model fine-tuned based on the T5-small architecture, trained for 7 epochs on the mlsum German dataset with a Rouge1 score of 42.38

A T5 model fine-tuned for German question generation tasks, trained on the GermanQUAD dataset