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Use warning infobox.
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@ -89,9 +89,11 @@ architectures and their arguments and hyperparameters.
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| `negative_weight` <Tag variant="new">3.5.1</Tag> | Multiplier for the loss terms. It can be used to downweight the negative samples if there are too many. It is only used when `add_negative_label` is `True`. Defaults to `1.0`. ~~float~~ |
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| `allow_overlap` <Tag variant="new">3.5.1</Tag> | If `True`, the data is assumed to contain overlapping spans. It is only available when `max_positive` is exactly 1. Defaults to `True`. ~~bool~~ |
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> ⚠️ Caution: if you set a non-default value for `spans_key`, you'll have to
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> update `[training.score_weights]` as well so that weights are computed
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> properly. E. g. for `span_key == "myspankey"`, include this in your config:
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<Infobox variant="warning">
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> If you set a non-default value for `spans_key`, you'll have to update
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> `[training.score_weights]` as well so that weights are computed properly. E.
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> g. for `span_key == "myspankey"`, include this in your config:
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>
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> ```ini
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> [training.score_weights]
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@ -100,6 +102,8 @@ architectures and their arguments and hyperparameters.
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> spans_myspankey_r = 0.0
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> ```
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</Infobox>
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```python
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%%GITHUB_SPACY/spacy/pipeline/spancat.py
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```
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