This PR improves the model card for the MARS optimizer by:
- Adding `pipeline_tag: image-classification` to reflect the optimizer's evaluation on relevant vision tasks like mini-imagenet and CIFAR, helping users discover it when filtering for this pipeline.
- Adding `library_name: transformers`, as the optimizer is used to train models from the Hugging Face Transformers library (e.g., GPT-2), enabling a predefined code snippet for usage.
- Updating the main title of the model card to the paper's official title and linking it to the Hugging Face paper page for clearer attribution.
- Adding a prominent link to the GitHub repository for easy access to the source code.
- Expanding the model card content by integrating comprehensive sections from the official GitHub README, including "About MARS," "Instantiations," detailed "Performance Comparisons" across various tasks (LLMs and Vision), "Training GPT-2 from Scratch," and instructions for "Reproducing Results."
- Including a "…
