Document early stopping
@@ -198,7 +198,7 @@ will only train the tagger and parser.
```bash
$ python -m spacy train [lang] [output_path] [train_path] [dev_path]
-[--base-model] [--pipeline] [--vectors] [--n-iter] [--n-examples] [--use-gpu]
+[--base-model] [--pipeline] [--vectors] [--n-iter] [--n-early-stopping] [--n-examples] [--use-gpu]
[--version] [--meta-path] [--init-tok2vec] [--parser-multitasks]
[--entity-multitasks] [--gold-preproc] [--noise-level] [--learn-tokens]
[--verbose]
@@ -214,6 +214,7 @@ $ python -m spacy train [lang] [output_path] [train_path] [dev_path]
| `--pipeline`, `-p` <Tag variant="new">2.1</Tag> | option | Comma-separated names of pipeline components to train. Defaults to `'tagger,parser,ner'`. |
| `--vectors`, `-v` | option | Model to load vectors from. |
| `--n-iter`, `-n` | option | Number of iterations (default: `30`). |
+| `--n-early-stopping`, `-ne` | option | Maximum number of training epochs without dev accuracy improvement. |
| `--n-examples`, `-ns` | option | Number of examples to use (defaults to `0` for all examples). |
| `--use-gpu`, `-g` | option | Whether to use GPU. Can be either `0`, `1` or `-1`. |
| `--version`, `-V` | option | Model version. Will be written out to the model's `meta.json` after training. |
