# Rouge Evaluation

An image caption generation model based on the ViT-GPT2 architecture, capable of converting input images into descriptive text

A fine-tuned model based on T5-small architecture, primarily used for text generation tasks, with average performance on ROUGE metrics

Text summarization model fine-tuned on google/t5-efficient-tiny, trained on the billsum dataset

This model is based on the t5-small architecture, designed to automatically generate concise titles from lengthy medical research abstracts.

A fine-tuned summarization model based on t5-small, performing well on ROUGE metrics

An English summarization generation model fine-tuned based on google/mt5-base, excelling at extracting key information from text to generate concise summaries.

A text summarization model fine-tuned based on google/mt5-base, supporting French text summarization tasks

A text summarization model fine-tuned on an unknown dataset based on T5-small, excelling at generating concise summaries