`ultralytics 8.0.113` Adamax, NAdam, RAdam optimizers (#3004)

docs/modes/train.md

@@ -72,7 +72,7 @@ task.
 | `name`            | `None`   | experiment name                                                                   |
 | `exist_ok`        | `False`  | whether to overwrite existing experiment                                          |
 | `pretrained`      | `False`  | whether to use a pretrained model                                                 |
-| `optimizer`       | `'auto'` | optimizer to use, choices=[SGD, Adam, Adamax, AdamW, NAdam, RAdam, RMSProp, auto] |
+| `optimizer`       | `'SGD'`  | optimizer to use, choices=[SGD, Adam, Adamax, AdamW, NAdam, RAdam, RMSProp, auto] |
 | `verbose`         | `False`  | whether to print verbose output                                                   |
 | `seed`            | `0`      | random seed for reproducibility                                                   |
 | `deterministic`   | `True`   | whether to enable deterministic mode                                              |

docs/usage/cfg.md

@@ -94,7 +94,7 @@ The training settings for YOLO models encompass various hyperparameters and conf
 | `name`            | `None`   | experiment name                                                                   |
 | `exist_ok`        | `False`  | whether to overwrite existing experiment                                          |
 | `pretrained`      | `False`  | whether to use a pretrained model                                                 |
-| `optimizer`       | `'auto'` | optimizer to use, choices=[SGD, Adam, Adamax, AdamW, NAdam, RAdam, RMSProp, auto] |
+| `optimizer`       | `'SGD'`  | optimizer to use, choices=[SGD, Adam, Adamax, AdamW, NAdam, RAdam, RMSProp, auto] |
 | `verbose`         | `False`  | whether to print verbose output                                                   |
 | `seed`            | `0`      | random seed for reproducibility                                                   |
 | `deterministic`   | `True`   | whether to enable deterministic mode                                              |

ultralytics/__init__.py

@@ -1,6 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
-__version__ = '8.0.112'
+__version__ = '8.0.113'
 
 from ultralytics.hub import start
 from ultralytics.vit.rtdetr import RTDETR

ultralytics/yolo/cfg/default.yaml

@@ -20,7 +20,7 @@ project:  # project name
 name:  # experiment name, results saved to 'project/name' directory
 exist_ok: False  # whether to overwrite existing experiment
 pretrained: False  # whether to use a pretrained model
-optimizer: auto  # optimizer to use, choices=[SGD, Adam, Adamax, AdamW, NAdam, RAdam, RMSProp, auto]
+optimizer: SGD  # optimizer to use, choices=[SGD, Adam, Adamax, AdamW, NAdam, RAdam, RMSProp, auto]
 verbose: True  # whether to print verbose output
 seed: 0  # random seed for reproducibility
 deterministic: True  # whether to enable deterministic mode