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4 changes: 2 additions & 2 deletions metrics/bleurt/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,7 @@ This metric takes as input lists of predicted sentences and reference sentences:
### Inputs
- **predictions** (`list` of `str`s): List of generated sentences to score.
- **references** (`list` of `str`s): List of references to compare to.
- **checkpoint** (`str`): BLEURT checkpoint. Will default to `BLEURT-tiny` if not specified. Other models that can be chosen are: `"bleurt-tiny-128"`, `"bleurt-tiny-512"`, `"bleurt-base-128"`, `"bleurt-base-512"`, `"bleurt-large-128"`, `"bleurt-large-512"`, `"BLEURT-20-D3"`, `"BLEURT-20-D6"`, `"BLEURT-20-D12"` and `"BLEURT-20"`.
- **config_name** (`str`): BLEURT checkpoint. Will default to `BLEURT-tiny` if not specified. Other models that can be chosen are: `"bleurt-tiny-128"`, `"bleurt-tiny-512"`, `"bleurt-base-128"`, `"bleurt-base-512"`, `"bleurt-large-128"`, `"bleurt-large-512"`, `"BLEURT-20-D3"`, `"BLEURT-20-D6"`, `"BLEURT-20-D12"` and `"BLEURT-20"`.

### Output Values
- **scores** : a `list` of scores, one per prediction.
Expand Down Expand Up @@ -79,7 +79,7 @@ Example with the `"bleurt-base-128"` model checkpoint:
```python
>>> predictions = ["hello there", "general kenobi"]
>>> references = ["hello there", "general kenobi"]
>>> bleurt = load("bleurt", module_type="metric", checkpoint="bleurt-base-128")
>>> bleurt = load("bleurt", module_type="metric", config_name="bleurt-base-128")
>>> results = bleurt.compute(predictions=predictions, references=references)
>>> print(results)
{'scores': [1.0295498371124268, 1.0445425510406494]}
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