M-RewardBench Leaderboard
Display server status information
Generate plots for GP and PFN posterior approximations
Browse and submit evaluation results for AI benchmarks
Generate detailed data reports
Generate detailed data reports
Analyze your dataset with guided tools
Embed and use ZeroEval for evaluation tasks
Analyze autism data and generate detailed reports
Evaluate model predictions and update leaderboard
Monitor application health
Explore how datasets shape classifier biases
Analyze and compare datasets, upload reports to Hugging Face
M-RewardBench is a data visualization tool designed to create and display leaderboards for comparing the performance of multilingual reward models. It allows developers and researchers to track and analyze the effectiveness of different models across various languages and tasks.
• Real-time Scoring: Provides up-to-the-minute scores for each model based on predefined metrics.
• Multi-Language Support: Enables comparison of models across multiple languages and regions.
• Interactive Dashboards: Offers customizable visualizations to explore performance data in depth.
• Customizable Metrics: Allows users to define and adjust evaluation criteria based on specific needs.
• Model Comparison: Facilitates side-by-side analysis of multiple models to identify strengths and weaknesses.
What is M-RewardBench used for?
M-RewardBench is used to evaluate and compare the performance of multilingual reward models by generating leaderboards based on customizable metrics.
How do I get started with M-RewardBench?
To get started, simply launch the tool, upload your models, configure your metrics, and run the benchmarking process. Detailed instructions are provided in the user guide.
Is M-RewardBench free to use?
M-RewardBench is available under a specific license. For details about pricing and usage, please contact the provider or refer to the licensing agreement.