> ## Documentation Index
> Fetch the complete documentation index at: https://kumo.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# early_stopping

#### `early_stopping: <list[list[EarlyStopper]]>` (Optional)

## Description

A list of potential early stopping strategies for AutoML to explore.

An early stopping strategy can be empty in which case no early stopping is applied), or it can be configured through two parameters: `min_delta` and `patience`:

* `min_delta` (default: `0.0`): The minimum absolute change in the monitored tune metric to qualify as an improvement. Must be `>= 0.0`.
* `patience` (default: `3`): The number of epochs with no improvement after which training will be stopped. Must be `> 0`.

By default, training is stopped after `3` consecutive epochs with no improvements of the tune metric on the validation set.

### Supported Task Types

* All

### Example

<CodeGroup>
  ```yaml yaml theme={null}
  early_stopping:
  - min_delta: 0.0
    patience: 3
  - min_delta: 0.1
    patience: 0
  ```
</CodeGroup>

### Default Values

<CodeGroup>
  ```yaml yaml theme={null}
  early_stopping:
  - min_delta: 0.0
    patience: 3
  ```
</CodeGroup>