Update cli.md

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Ines Montani 2020-07-10 22:57:22 +02:00
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@ -319,19 +319,20 @@ pipeline, training process and hyperparameters.
```bash
$ python -m spacy train [train_path] [dev_path] [config_path] [--output]
[--code] [--verbose]
[--code] [--verbose] [overrides]
```
| Argument | Type | Description |
| ----------------- | ---------- | ---------------------------------------------------------------------------------------------------------------------------------------------------- |
| `train_path` | positional | Location of training data in spaCy's [binary format](/api/data-formats#training). Can be a file or a directory of files. |
| `dev_path` | positional | Location of development data for evaluation in spaCy's [binary format](/api/data-formats#training). Can be a file or a directory of files. |
| `config_path` | positional | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. |
| `--output`, `-o` | positional | Directory to store model in. Will be created if it doesn't exist. |
| `--code`, `-c` | option | Path to Python file with additional code to be imported. Allows [registering custom functions](/usage/training#custom-models) for new architectures. |
| `--verbose`, `-V` | flag | Show more detailed messages during training. |
| `--help`, `-h` | flag | Show help message and available arguments. |
| **CREATES** | model | The final model and the best model. |
| Argument | Type | Description |
| ----------------- | ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `train_path` | positional | Location of training data in spaCy's [binary format](/api/data-formats#training). Can be a file or a directory of files. |
| `dev_path` | positional | Location of development data for evaluation in spaCy's [binary format](/api/data-formats#training). Can be a file or a directory of files. |
| `config_path` | positional | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. |
| `--output`, `-o` | positional | Directory to store model in. Will be created if it doesn't exist. |
| `--code`, `-c` | option | Path to Python file with additional code to be imported. Allows [registering custom functions](/usage/training#custom-models) for new architectures. |
| `--verbose`, `-V` | flag | Show more detailed messages during training. |
| `--help`, `-h` | flag | Show help message and available arguments. |
| overrides | | Config parameters to override. Should be options starting with `--` that correspond to the config section and value to override, e.g. `--training.use_gpu 1`. |
| **CREATES** | model | The final model and the best model. |
## Pretrain {#pretrain new="2.1" tag="experimental"}