diff --git a/algorithmic_efficiency/workloads/wmt/wmt_jax/workload.py b/algorithmic_efficiency/workloads/wmt/wmt_jax/workload.py
index c69965692..046d5e469 100644
--- a/algorithmic_efficiency/workloads/wmt/wmt_jax/workload.py
+++ b/algorithmic_efficiency/workloads/wmt/wmt_jax/workload.py
@@ -315,7 +315,7 @@ class WmtWorkloadAttentionTemp(WmtWorkload):
 
   @property
   def validation_target_value(self) -> float:
-    return 29.8611
+    return 29.3379
 
   @property
   def test_target_value(self) -> float:
@@ -331,7 +331,7 @@ class WmtWorkloadGLUTanH(WmtWorkload):
 
   @property
   def validation_target_value(self) -> float:
-    return 29.6517
+    return 29.5779
 
   @property
   def test_target_value(self) -> float:
diff --git a/algorithmic_efficiency/workloads/wmt/wmt_pytorch/workload.py b/algorithmic_efficiency/workloads/wmt/wmt_pytorch/workload.py
index 5ef09d278..0ba49c2f6 100644
--- a/algorithmic_efficiency/workloads/wmt/wmt_pytorch/workload.py
+++ b/algorithmic_efficiency/workloads/wmt/wmt_pytorch/workload.py
@@ -371,7 +371,7 @@ class WmtWorkloadAttentionTemp(WmtWorkload):
 
   @property
   def validation_target_value(self) -> float:
-    return 29.8611
+    return 29.3379
 
   @property
   def test_target_value(self) -> float:
@@ -387,7 +387,7 @@ class WmtWorkloadGLUTanH(WmtWorkload):
 
   @property
   def validation_target_value(self) -> float:
-    return 29.6517
+    return 29.5779
 
   @property
   def test_target_value(self) -> float:
diff --git a/reference_algorithms/target_setting_algorithms/wmt_attention_temp/tuning_search_space.json b/reference_algorithms/target_setting_algorithms/wmt_attention_temp/tuning_search_space.json
index 1327bcb38..266cdedbb 100644
--- a/reference_algorithms/target_setting_algorithms/wmt_attention_temp/tuning_search_space.json
+++ b/reference_algorithms/target_setting_algorithms/wmt_attention_temp/tuning_search_space.json
@@ -1,17 +1,17 @@
 {
     "learning_rate": {
         "feasible_points": [
-            0.0003477912008450351
+            0.000590120167916659
         ]
     },
     "beta1": {
         "feasible_points": [
-            0.9936632117510711
+            0.737199286155609
         ]
     },
     "beta2": {
         "feasible_points": [
-            0.9967873550453692
+            0.05919391544031072
         ]
     },
     "warmup_steps": {
@@ -21,7 +21,7 @@
     },
     "weight_decay": {
         "feasible_points": [
-            0.04120183162940475
+            0.14128519778326312
         ]
     },
     "label_smoothing": {
diff --git a/reference_algorithms/target_setting_algorithms/wmt_glu_tanh/tuning_search_space.json b/reference_algorithms/target_setting_algorithms/wmt_glu_tanh/tuning_search_space.json
index 4708a26dd..d288d9a49 100644
--- a/reference_algorithms/target_setting_algorithms/wmt_glu_tanh/tuning_search_space.json
+++ b/reference_algorithms/target_setting_algorithms/wmt_glu_tanh/tuning_search_space.json
@@ -1,32 +1,32 @@
 {
     "learning_rate": {
         "feasible_points": [
-            0.0002111193022461917
+            0.000872041489644454
         ]
     },
     "beta1": {
         "feasible_points": [
-            0.8748186204170956
+            0.45562164405092065
         ]
     },
     "beta2": {
         "feasible_points": [
-            0.8576876516215266
+            0.9982167124443476
         ]
     },
     "warmup_steps": {
         "feasible_points": [
-            9999
+            4999
         ]
     },
     "weight_decay": {
         "feasible_points": [
-            0.18033280763289028
+            0.01536114562763022
         ]
     },
     "label_smoothing": {
         "feasible_points": [
-            0.0
+            0.1
         ]
     }
 }