HuggingFace Benchmarks Overview

Welcome to the HuggingFace benchmarks section! Here, you'll find curated resources to evaluate and compare machine learning models effectively. 🚀

Key Benchmark Categories

• GLUE Benchmark
  A collection of standard datasets for evaluating NLP models.

  *Explore more: [GLUE Benchmark Details](/resources/ml/huggingface/glue)*

• SuperGLUE Benchmark
  An advanced benchmark for complex NLP tasks with higher difficulty.

  *Check out [SuperGLUE Documentation](/resources/ml/huggingface/superglue)*

• Model Performance Metrics
  Tools to analyze accuracy, F1 score, and inference speed.

  *Learn about metrics in [Model Evaluation Guide](/resources/ml/huggingface/evaluation)*

How to Use Benchmarks

1. Access pre-trained models via HuggingFace Model Hub.
2. Run benchmarks using the transformers library.
3. Compare results on the Benchmark Dashboard.

For visual insights, here's a chart showing benchmark trends:

Dive deeper into machine learning resources: HuggingFace ML Resources 📚