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    content: Diplodoc Platform v5.55.2
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  - https://catboost.ai/docs/en/references/training-parameters/overfitting-detection.md
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> **Documentation Index:** Fetch the complete configuration index at https://catboost.ai/docs/en/llms.txt

# Overfitting detection settings

## early_stopping_rounds {#early_stopping_rounds}

#### Description

Sets the overfitting detector type to Iter and stops the training after the specified number of iterations since the iteration with the optimal metric value.

**Type**

int

**Default value**

False

**Supported processing units**

CPU and GPU

## od_type {#od_type}

Command-line: `--od-type`

#### Description

The type of the overfitting detector to use.

Possible values:
- IncToDec
- Iter

**Type**
 string

**Default value**

IncToDec

**Supported processing units**

CPU and GPU

## od_pval {#od_pval}

Command-line: `--od-pval`

#### Description

The threshold for the IncToDec [overfitting detector](https://catboost.ai/docs/en/concepts/overfitting-detector.md) type. The training is stopped when the specified value is reached. Requires that a validation dataset was input.

For best results, it is recommended to set a value in the range $[10^{–10}; 10^{-2}]$.

The larger the value, the earlier overfitting is detected.

{% note alert %}

Do not use this parameter with the Iter overfitting detector type.

{% endnote %}

**Type**

float

**Default value**

0 (the overfitting detection is turned off)

**Supported processing units**

CPU and GPU

## od_wait {#od_wait}

Command-line: `--od-wait`

#### Description

The number of iterations to continue the training after the iteration with the optimal metric value.
The purpose of this parameter differs depending on the selected overfitting detector type:
- IncToDec — Ignore the overfitting detector when the threshold is reached and continue learning for the specified number of iterations after the iteration with the optimal metric value.
- Iter — Consider the model overfitted and stop training after the specified number of iterations since the iteration with the optimal metric value.

**Type**

int

**Default value**

20

**Supported processing units**

CPU and GPU