Update EarlyStoppingConfig default: stop_training_on_plateau=True

Changed the default value of stop_training_on_plateau from False to True
to enable early stopping by default for better training behavior.

Updates:
- sleap_nn/config/trainer_config.py: Updated default to True and fixed documentation
- docs/config.md: Updated documentation to reflect new default
- tests/config/test_trainer_config.py: Updated test assertions to expect True

This ensures early stopping is enabled by default with the improved
patience and min_delta values from the previous commit.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <[email protected]>

Author: gitttt-1234

docs/config.md

@@ -795,7 +795,7 @@ trainer_config:
 
 ### Early Stopping
 - `early_stopping`:
-    - `stop_training_on_plateau`: (bool) True if early stopping should be enabled. **Default**: `False`
+    - `stop_training_on_plateau`: (bool) True if early stopping should be enabled. **Default**: `True`
     - `min_delta`: (float) Minimum change in the monitored quantity to qualify as an improvement, i.e. an absolute change of less than or equal to min_delta, will count as no improvement. **Default**: `1e-8`
     - `patience`: (int) Number of checks with no improvement after which training will be stopped. Under the default configuration, one check happens after every training epoch. **Default**: `10`
 

sleap_nn/config/trainer_config.py

@@ -181,14 +181,14 @@ class EarlyStoppingConfig:
     """Configuration for early_stopping.
 
     Attributes:
-        stop_training_on_plateau: (bool) True if early stopping should be enabled. *Default*: `False`.
+        stop_training_on_plateau: (bool) True if early stopping should be enabled. *Default*: `True`.
         min_delta: (float) Minimum change in the monitored quantity to qualify as an improvement, i.e. an absolute change of less than or equal to min_delta, will count as no improvement. *Default*: `1e-8`.
         patience: (int) Number of checks with no improvement after which training will be stopped. Under the default configuration, one check happens after every training epoch. *Default*: `10`.
     """
 
     min_delta: float = field(default=1e-8, validator=validators.ge(0))
     patience: int = field(default=10, validator=validators.ge(0))
-    stop_training_on_plateau: bool = False
+    stop_training_on_plateau: bool = True
 
 
 @define

tests/config/test_trainer_config.py

@@ -183,15 +183,15 @@ def test_early_stopping_config():
     """
     # Check default values
     conf = OmegaConf.structured(EarlyStoppingConfig)
-    assert conf.stop_training_on_plateau is False
+    assert conf.stop_training_on_plateau is True
     assert conf.min_delta == 1e-8
     assert conf.patience == 10
 
     # Test customization
     custom_conf = OmegaConf.structured(
-        EarlyStoppingConfig(stop_training_on_plateau=True, patience=5)
+        EarlyStoppingConfig(stop_training_on_plateau=False, patience=5)
     )
-    assert custom_conf.stop_training_on_plateau is True
+    assert custom_conf.stop_training_on_plateau is False
     assert custom_conf.patience == 5
 
     # Test validation
@@ -217,7 +217,7 @@ def test_trainer_config(caplog):
     assert conf_structured.optimizer.lr == 1e-4
     assert conf_structured.lr_scheduler is not None
     assert conf_structured.lr_scheduler.reduce_lr_on_plateau is not None
-    assert conf_structured.early_stopping.stop_training_on_plateau is False
+    assert conf_structured.early_stopping.stop_training_on_plateau is True
     assert conf_structured.use_wandb is False
     assert conf_structured.ckpt_dir == "."
     assert conf_structured.run_name is None