M-RewardBench Leaderboard
Monitor application health
This is a timeline of all the available models released
Label data for machine learning models
Need to analyze data? Let a Llama-3.1 agent do it for you!
Filter and view AI model leaderboard data
Visualize dataset distributions with facets
Explore income data with an interactive visualization tool
Generate synthetic dataset files (JSON Lines)
statistics analysis for linear regression
Explore speech recognition model performance
Analyze and compare datasets, upload reports to Hugging Face
Generate detailed data profile reports
M-RewardBench is a data visualization tool designed to display a leaderboard for multilingual reward models. It helps users comparing and evaluating the performance of different models across various languages and tasks.
• Real-Time Updates: Provides up-to-the-minute leaderboard rankings for multilingual reward models. • Customizable Sorting: Users can sort models based on performance metrics like accuracy, F1-score, or other predefined criteria. • Multi-Language Support: Displays results for models trained on multiple languages, enabling cross-lingual performance comparison. • Interactive Visualizations: Offers charts and graphs to visually represent model performance trends. • Benchmark Comparisons: Includes predefined benchmarks for quick evaluation of model performance.
What is the purpose of M-RewardBench?
M-RewardBench is designed to help users compare and evaluate the performance of multilingual reward models across different languages and tasks.
Which languages does M-RewardBench support?
M-RewardBench supports a wide range of languages, including but not limited to English, Spanish, French, German, Chinese, and many others.
Can I customize the performance metrics used in the leaderboard?
Yes, users can customize the performance metrics used for evaluation, such as accuracy, F1-score, or other predefined criteria, to suit their specific needs.