# Multi-round Training Optimization

A text summarization model trained based on the mt5-base architecture, capable of extracting key information from text to generate summaries.

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 fine-tuned text summarization model based on barthez-orangesum-abstract, excelling in French text summarization tasks

An image classification model based on Google Vision Transformer (ViT) architecture, fine-tuned on a custom dataset with an accuracy of 82.18%

This model is a fine-tuned news summarization model based on Google's T5-base architecture, trained on a dataset containing 4,515 news summarization samples