Buckets:
| { | |
| "dataset": "Stanford Cars", | |
| "model_name": "ProMetaR", | |
| "model_links": [], | |
| "paper_title": "Prompt Learning via Meta-Regularization", | |
| "paper_url": "https://arxiv.org/abs/2404.00851v1", | |
| "metrics": { | |
| "Harmonic mean": "76.72" | |
| }, | |
| "table_metrics": { | |
| "Harmonic mean": "76.72" | |
| }, | |
| "prompts": [ | |
| "Given the following paper and codebase:\nPaper: Prompt Learning via Meta-Regularization\nCodebase: Repository not available\n\nImprove the ProMetaR model on the Stanford Cars dataset. The result should improve on the following metrics: {'Harmonic mean': '76.72'}. You must use only the codebase provided." | |
| ] | |
| } |
Xet Storage Details
- Size:
- 629 Bytes
- Xet hash:
- ee164c0411c842d6c2ecea2ceaf03db72abb3d894231434f6e7e7f3b55de868a
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