# High-precision Fine-tuning

PaliGemma 2 is a vision-language model (VLM) that combines the capabilities of the Gemma 2 model. It can process both image and text inputs simultaneously and generate text outputs, supporting multiple languages. It is suitable for various vision-language tasks such as image and short video captioning, visual question answering, text reading, object detection, and object segmentation.

DeBERTa V2 XXLarge is an enhanced natural language understanding model developed by Microsoft, which improves the BERT architecture through a disentangled attention mechanism and enhanced masked decoder, achieving SOTA performance on multiple NLP tasks.

A sentiment analysis model fine-tuned on the SST-2 dataset based on microsoft/deberta-v3-large