Buckets:
| # Saving methods | |
| Methods for saving evaluations results: | |
| ## Save[[evaluate.save]] | |
| #### evaluate.save[[evaluate.save]] | |
| [Source](https://github.com/huggingface/evaluate/blob/main/src/evaluate/saving.py#L13) | |
| Saves results to a JSON file. Also saves system information such as current time, current commit | |
| hash if inside a repository, and Python system information. | |
| Example: | |
| ```py | |
| >>> import evaluate | |
| >>> result = {"bleu": 0.7} | |
| >>> params = {"model": "gpt-2"} | |
| >>> evaluate.save("./results/", **result, **params) | |
| ``` | |
| **Parameters:** | |
| path_or_file (`str`) : Path or file to store the file. If only a folder is provided the results file will be saved in the format `"result-%Y_%m_%d-%H_%M_%S.json"`. | |
Xet Storage Details
- Size:
- 701 Bytes
- Xet hash:
- da48f1f4fc7f987da5a02bc261f0129c2fb05a3f832275a5194e03553751e3f5
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.