diff --git a/khaosz/trainer/strategy.py b/khaosz/trainer/strategy.py
index 8df3fd8..49c1744 100644
--- a/khaosz/trainer/strategy.py
+++ b/khaosz/trainer/strategy.py
@@ -56,7 +56,7 @@ class BaseStrategy(ABC):
         return self.compute_loss(batch)
 
 
-class SeqStrategy(BaseStrategy):
+class SEQStrategy(BaseStrategy):
     def __init__(self, model, device, label_smoothing):
         super().__init__(model, device)
         self.label_smoothing = label_smoothing
@@ -74,7 +74,7 @@ class SeqStrategy(BaseStrategy):
         return loss
     
 
-class SftStrategy(BaseStrategy):
+class SFTStrategy(BaseStrategy):
     def __init__(self, model, device, label_smoothing):
         super().__init__(model, device)
         self.label_smoothing = label_smoothing
@@ -96,7 +96,7 @@ class SftStrategy(BaseStrategy):
         return loss
 
 
-class DpoStrategy(BaseStrategy):
+class DPOStrategy(BaseStrategy):
     def __init__(
             self, 
             model, 
@@ -141,7 +141,7 @@ class DpoStrategy(BaseStrategy):
         return dpo_loss
 
 
-class GrpoStrategy(BaseStrategy):
+class GRPOStrategy(BaseStrategy):
     
     def __init__(
         self, 
@@ -211,23 +211,23 @@ class StrategyFactory:
     
     def load(model, train_type, device, **kwargs):
         train_strategy: Dict[str, Callable[[], BaseStrategy]] = {
-            "seq": lambda: SeqStrategy(
+            "seq": lambda: SEQStrategy(
                 model, 
                 device,
                 kwargs.get("label_smoothing", 0.0)
             ),
-            "sft": lambda: SftStrategy(
+            "sft": lambda: SFTStrategy(
                 model, 
                 device,
                 kwargs.get("label_smoothing", 0.0)
             ),
-            "dpo": lambda: DpoStrategy(
+            "dpo": lambda: DPOStrategy(
                 model,
                 device,
                 kwargs.get("dpo_beta"),
                 kwargs.get("reduction", "mean")
             ),
-            "grpo": lambda: GrpoStrategy(
+            "grpo": lambda: GRPOStrategy(
                 model,
                 device,
                 kwargs.get("grpo_clip_eps"),