Buckets:
| { | |
| "dataset": "Fashion-MNIST", | |
| "model_name": "ENERGIZE", | |
| "model_links": [], | |
| "paper_title": "Towards Physical Plausibility in Neuroevolution Systems", | |
| "paper_url": "https://arxiv.org/abs/2401.17733v1", | |
| "metrics": { | |
| "Accuracy": "0.902", | |
| "Percentage error": "9.8", | |
| "Power consumption": "71.92" | |
| }, | |
| "table_metrics": { | |
| "Accuracy": "0.902", | |
| "Percentage error": "9.8", | |
| "Power consumption": "71.92" | |
| }, | |
| "prompts": [ | |
| "Given the following paper and codebase:\nPaper: Towards Physical Plausibility in Neuroevolution Systems\nCodebase: Repository not available\n\nImprove the ENERGIZE model on the Fashion-MNIST dataset. The result should improve on the following metrics: {'Accuracy': '0.902', 'Percentage error': '9.8', 'Power consumption': '71.92'}. You must use only the codebase provided." | |
| ] | |
| } |
Xet Storage Details
- Size:
- 833 Bytes
- Xet hash:
- 2150d62bf2ff2ee4ebbb7a81b847f5cbcc8c0124b5475243dfa20e869c1299d1
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.