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@ -181,9 +181,10 @@ This section defines settings and controls for the training and evaluation
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process that are used when you run [`spacy train`](/api/cli#train).
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| Name | Description |
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| --------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| --------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `accumulate_gradient` | Whether to divide the batch up into substeps. Defaults to `1`. ~~int~~ |
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| `batcher` | Callable that takes an iterator of [`Doc`](/api/doc) objects and yields batches of `Doc`s. Defaults to [`batch_by_words`](/api/top-level#batch_by_words). ~~Callable[[Iterator[Doc], Iterator[List[Doc]]]]~~ |
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| `before_to_disk` | Optional callback to modify `nlp` object right before it is saved to disk during and after training. Can be used to remove or reset config values or disable components. Defaults to `null`. ~~Optional[Callable[[Language], Language]]~~ |
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| `dev_corpus` | Dot notation of the config location defining the dev corpus. Defaults to `corpora.dev`. ~~str~~ |
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| `dropout` | The dropout rate. Defaults to `0.1`. ~~float~~ |
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| `eval_frequency` | How often to evaluate during training (steps). Defaults to `200`. ~~int~~ |
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@ -275,8 +276,8 @@ $ python -m spacy convert ./data.json ./output.spacy
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> entity label, prefixed by the BILUO marker. For example `"B-ORG"` describes
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> the first token of a multi-token `ORG` entity and `"U-PERSON"` a single token
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> representing a `PERSON` entity. The
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> [`offsets_to_biluo_tags`](/api/top-level#offsets_to_biluo_tags) function
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> can help you convert entity offsets to the right format.
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> [`offsets_to_biluo_tags`](/api/top-level#offsets_to_biluo_tags) function can
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> help you convert entity offsets to the right format.
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```python
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### Example structure
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