OLMo-Eval
OLMo-Eval, an evaluation framework for language models, leverages task sets for metric computation on NLP tasks. Built with ai2-tango and ai2-catwalk, it offers adaptable evaluation and integrates with Google Sheets for reporting. Deployment is simple through command line, supporting diverse models and datasets, facilitating ongoing development and analysis. Suited for benchmarking a variety of language models on standard tasks.
