diff --git a/angle_emb/angle.py b/angle_emb/angle.py
index ea693e5..6baae43 100644
--- a/angle_emb/angle.py
+++ b/angle_emb/angle.py
@@ -827,7 +827,7 @@ def compute_mlm_loss(self, logits, mask_target_labels):
             ignore_index=self.pad_token_id,
         )
 
-    def compute_loss(self, model, inputs, return_outputs: bool = False):
+    def compute_loss(self, model, inputs, return_outputs: bool = False, **kwargs):
         """ Compute loss for AnglE.
 
         :param model: Huggingface model.
@@ -942,7 +942,7 @@ def compute_student_loss(self,
                 ) / division
         return (loss + compression_loss) / (self.n_layers - 1)
 
-    def compute_loss(self, model, inputs, return_outputs=False):
+    def compute_loss(self, model, inputs, return_outputs=False, **kwargs):
         """ Compute loss for Espresso.
 
         :param model: Huggingface model.
@@ -1431,7 +1431,7 @@ def fit(self,
             warmup_steps: int = 1000,
             logging_steps: int = 10,
             eval_steps: int = 1000,
-            evaluation_strategy: str = 'steps',
+            eval_strategy: str = 'steps',
             save_steps: int = 100,
             save_strategy: str = 'steps',
             save_total_limit: int = 1,
@@ -1462,7 +1462,7 @@ def fit(self,
         :param warmup_steps: int. Default 1000.
         :param logging_steps: int. Default 10.
         :param eval_steps: int. Default 1000.
-        :param evaluation_strategy: str. Default 'steps'.
+        :param eval_strategy: str. Default 'steps'.
         :param save_steps: int. Default 100.
         :param save_strategy: str. Default steps.
         :param save_total_limit: int. Default 10.
@@ -1549,7 +1549,7 @@ def fit(self,
                 logging_steps=logging_steps,
                 save_steps=save_steps,
                 save_strategy=save_strategy,
-                evaluation_strategy=evaluation_strategy if valid_ds is not None else 'no',
+                eval_strategy=eval_strategy if valid_ds is not None else 'no',
                 eval_steps=eval_steps,
                 output_dir=output_dir,
                 save_total_limit=save_total_limit,
diff --git a/angle_emb/angle_trainer.py b/angle_emb/angle_trainer.py
index 9c54f47..c52f7a6 100644
--- a/angle_emb/angle_trainer.py
+++ b/angle_emb/angle_trainer.py
@@ -99,8 +99,8 @@
 parser.add_argument('--save_strategy', type=str, default='steps', choices=['steps', 'epoch', 'no'],
                     help='Specify save_strategy, default steps')
 parser.add_argument('--eval_steps', type=int, default=1000, help='Specify eval_steps, default 1000')
-parser.add_argument('--evaluation_strategy', type=str, default='steps', choices=['steps', 'epoch', 'no'],
-                    help='Specify evaluation_strategy, default steps')
+parser.add_argument('--eval_strategy', type=str, default='steps', choices=['steps', 'epoch', 'no'],
+                    help='Specify eval_strategy, default steps')
 parser.add_argument('--batch_size', type=int, default=32, help='Specify batch size, default 32')
 parser.add_argument('--maxlen', type=int, default=512, help='Specify max length, default 512')
 parser.add_argument('--streaming', action='store_true', default=False,
@@ -307,7 +307,7 @@ def main():
         save_strategy=args.save_strategy,
         save_total_limit=args.save_total_limit,
         eval_steps=args.eval_steps,
-        evaluation_strategy=args.evaluation_strategy,
+        eval_strategy=args.eval_strategy,
         warmup_steps=args.warmup_steps,
         logging_steps=args.logging_steps,
         gradient_accumulation_steps=args.gradient_accumulation_steps,