FlagEval

FlagEval - Evaluation Toolkit for AI Foundation Models

FlagEval is an open-source evaluation toolkit designed to assess the effectiveness of large foundation models and their training algorithms. This toolkit aims to improve the evaluation processes for various AI tasks including Natural Language Processing (NLP), Computer Vision (CV), Audio, and Multimodal scenarios.

Key Features:

• Comprehensive Evaluation: Supports foundational models, pre-training and fine-tuning/compression algorithms.
• Multi-Domain Application: Evaluates tasks across NLP, CV, audio, and multimodal scenarios.
• Sub-Projects: Includes specialized tools like mCLIPEval for vision-language models, ImageEval-prompt for fine-grained text-to-image evaluations, and C-SEM for semantic understanding assessments.
• Focus on Objectivity: Incorporates AI techniques to enhance subjective assessments for clearer evaluations.
• Open-Source Collaboration: Encourages contributions for new tasks, datasets, and tools to continually evolve the evaluation processes.
• Clear Documentation: Detailed instructions for setup and usage for each sub-project.