# Multi-round Fine-tuning Optimization

A text summarization model fine-tuned on Vietnamese news datasets based on google/mt5-small, supporting automatic Vietnamese news summarization

This is a speech recognition model fine-tuned on the Common Voice dataset based on the facebook/wav2vec2-xls-r-300m model, supporting Hindi.

DeBERTa-v3-large model fine-tuned on GLUE MNLI dataset for natural language inference tasks, achieving 90% accuracy on the validation set

News summarization model based on ALBERT and GPT2 architectures, fine-tuned on the CNN/DailyMail dataset