# Few-shot Optimization

An audio classification model fine-tuned based on openai/whisper-small, trained on apple datasets, suitable for specific audio classification tasks.

A text regression model based on ModernBERT for predicting the click-through rate (CTR) of email text content.

Object detection model fine-tuned on the CPPE-5 dataset based on facebook/detr-resnet-50

Object detection model fine-tuned on the cppe-5 dataset based on facebook/detr-resnet-50

An efficient dialogue model fine-tuned based on Mistral-7B, excelling in TruthfulQA benchmark tests

Object detection model fine-tuned on the CPPE-5 dataset based on facebook/detr-resnet-50

An experimental model for vegetation segmentation in satellite images, labeling pixels only as 'vegetation' or 'other'.

This is an Indonesian sentiment analysis model based on the BERT architecture, fine-tuned on the SMSA dataset with an accuracy of 93.73%

This is a CIFAR-10 image classification model trained using supervised contrastive learning techniques, achieving a test accuracy of 81.06%