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# Saving methods

Methods for saving evaluations results:

## Save[[evaluate.save]]

#### evaluate.save[[evaluate.save]]

```python
evaluate.save(path_or_file, **data)
```

[Source](https://github.com/huggingface/evaluate/blob/main/src/evaluate/saving.py#L13)

**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"`.

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)
```

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	# Saving methods

	Methods for saving evaluations results:

	## Save[[evaluate.save]]

	#### evaluate.save[[evaluate.save]]

	```python
	evaluate.save(path_or_file, **data)
	```

	[Source](https://github.com/huggingface/evaluate/blob/main/src/evaluate/saving.py#L13)

	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"`.

	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)
	```