EvalScope: A Streamlined Evaluation Framework
EvalScope is ModelScope's official framework for model evaluation and benchmarking. It's designed to meet diverse assessment needs, supporting various model types such as large language models, multimodal models, embedding models, rerankers, and CLIP models.
Key Features
- Multiple Evaluation Scenarios: Supports end-to-end RAG evaluation, arena mode, and inference performance testing.
- Built-in Benchmarks and Metrics: Includes benchmarks like MMLU, CMMLU, C-Eval, and GSM8K.
- Comprehensive Integration: Works seamlessly with the ms-swift training framework, offering one-click evaluations.
- Custom Dataset Evaluation: Users can evaluate custom datasets easily.
- Visualization: Provides visual insights into evaluation results, helping users understand and compare model performances.
Benefits
- Streamlined Process: Quickly evaluate models using straightforward commands or Python code.
- Flexibility: Accommodates various model types and evaluation needs.
- Community Support: Engage with a community for sharing insights and enhancements, fostering collective improvement in model evaluations.