Buckets:
Saving methods
Methods for saving evaluations results:
Save[[evaluate.save]]
evaluate.save[[evaluate.save]]
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:
>>> 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
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Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.