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training.md: Fix typos (#10775)

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Madeesh Kannan 2022-05-09 19:44:14 +02:00 committed by GitHub
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@ -247,7 +247,7 @@ a consistent format. There are no command-line arguments that need to be set,
and no hidden defaults. However, there can still be scenarios where you may want and no hidden defaults. However, there can still be scenarios where you may want
to override config settings when you run [`spacy train`](/api/cli#train). This to override config settings when you run [`spacy train`](/api/cli#train). This
includes **file paths** to vectors or other resources that shouldn't be includes **file paths** to vectors or other resources that shouldn't be
hard-code in a config file, or **system-dependent settings**. hard-coded in a config file, or **system-dependent settings**.
For cases like this, you can set additional command-line options starting with For cases like this, you can set additional command-line options starting with
`--` that correspond to the config section and value to override. For example, `--` that correspond to the config section and value to override. For example,
@ -730,7 +730,7 @@ with the name of the respective [registry](/api/top-level#registry), e.g.
`@spacy.registry.architectures`, and a string name to assign to your function. `@spacy.registry.architectures`, and a string name to assign to your function.
Registering custom functions allows you to **plug in models** defined in PyTorch Registering custom functions allows you to **plug in models** defined in PyTorch
or TensorFlow, make **custom modifications** to the `nlp` object, create custom or TensorFlow, make **custom modifications** to the `nlp` object, create custom
optimizers or schedules, or **stream in data** and preprocesses it on the fly optimizers or schedules, or **stream in data** and preprocess it on the fly
while training. while training.
Each custom function can have any number of arguments that are passed in via the Each custom function can have any number of arguments that are passed in via the