diff --git a/docs/source/pi052.mdx b/docs/source/pi052.mdx
index 73ccd6236..1d5accc35 100644
--- a/docs/source/pi052.mdx
+++ b/docs/source/pi052.mdx
@@ -107,16 +107,16 @@ the expected prompt, text target, and action endpoints before scaling up.
 
 ### Main training controls
 
-| Option                           |                    Default | Purpose                                                            |
-| -------------------------------- | -------------------------: | ------------------------------------------------------------------ |
-| `policy.recipe_path`             | `recipes/subtask_mem.yaml` | Selects the language/action objective mixture                      |
-| `policy.text_loss_weight`        |                      `1.0` | Language-head cross-entropy weight; `0` disables text training     |
-| `policy.flow_loss_weight`        |                     `10.0` | Continuous action flow-loss weight                                 |
-| `policy.enable_fast_action_loss` |                     `true` | Adds discrete FAST action-token supervision                        |
-| `policy.fast_action_loss_weight` |                      `1.0` | FAST cross-entropy weight                                          |
-| `policy.knowledge_insulation`    |                     `true` | Blocks action-loss gradients through the VLM K/V path              |
-| `policy.flow_num_repeats`        |                        `5` | Reuses one VLM prefix for independent denoising targets            |
-| `policy.lm_head_lr_scale`        |                      `5.0` | Gives the sparsely supervised language head a larger learning rate |
+| Option                           |                    Default | Purpose                                                        |
+| -------------------------------- | -------------------------: | -------------------------------------------------------------- |
+| `policy.recipe_path`             | `recipes/subtask_mem.yaml` | Selects the language/action objective mixture                  |
+| `policy.text_loss_weight`        |                      `1.0` | Language-head cross-entropy weight; `0` disables text training |
+| `policy.flow_loss_weight`        |                     `10.0` | Continuous action flow-loss weight                             |
+| `policy.enable_fast_action_loss` |                     `true` | Adds discrete FAST action-token supervision                    |
+| `policy.fast_action_loss_weight` |                      `1.0` | FAST cross-entropy weight                                      |
+| `policy.knowledge_insulation`    |                     `true` | Blocks action-loss gradients through the VLM K/V path          |
+| `policy.flow_num_repeats`        |                        `5` | Reuses one VLM prefix for independent denoising targets        |
+| `policy.lm_head_lr_scale`        |                      `1.0` | Scales language-head learning rate; `1.0` uses the base rate   |
 
 The loss weights are starting points, not dataset-independent constants. Track
 flow loss and text/FAST losses separately, and inspect generated subtasks rather
diff --git a/src/lerobot/policies/pi052/configuration_pi052.py b/src/lerobot/policies/pi052/configuration_pi052.py
index 1d41a1f7c..77bb8f6b3 100644
--- a/src/lerobot/policies/pi052/configuration_pi052.py
+++ b/src/lerobot/policies/pi052/configuration_pi052.py
@@ -120,8 +120,8 @@ class PI052Config(PI05Config):
     """If True, route every transformer layer through the KI
     attention path that blocks action→VLM gradient flow on K/V."""
 
-    # Boost sparse text-head updates while retaining PI0.5's optimizer schedule.
-    lm_head_lr_scale: float = 5.0
+    # Scale language-head updates relative to the base optimizer schedule.
+    lm_head_lr_scale: float = 1.0
 
     # Scale pretrained backbone and new action-expert groups independently; 1.0 preserves legacy behavior.
     backbone_lr_scale: float = 1.0