diff --git a/train_network.py b/train_network.py
index 743ac75b..a864cdd7 100644
--- a/train_network.py
+++ b/train_network.py
@@ -44,7 +44,7 @@ def generate_step_logs(args: argparse.Namespace, current_loss, avr_loss, lr_sche
             logs["lr/textencoder"] = float(lrs[0])
             logs["lr/unet"] = float(lrs[-1])  # may be same to textencoder
 
-        if args.optimizer_type.lower() == "DAdaptation".lower() or args.optimizer_type.lower() == "DAdaptAdam".lower() or args.optimizer_type.lower() == "DAdaptAdan".lower() or args.optimizer_type.lower() == "DAdaptSGD".lower():  # tracking d*lr value of unet.
+        if args.optimizer_type.lower() == "DAdaptation".lower() or args.optimizer_type.lower() == "DAdaptAdam".lower() or args.optimizer_type.lower() == "DAdaptAdaGrad".lower() or args.optimizer_type.lower() == "DAdaptAdan".lower() or args.optimizer_type.lower() == "DAdaptSGD".lower():  # tracking d*lr value of unet.
             logs["lr/d*lr"] = lr_scheduler.optimizers[-1].param_groups[0]["d"] * lr_scheduler.optimizers[-1].param_groups[0]["lr"]
     else:
         idx = 0
@@ -54,7 +54,7 @@ def generate_step_logs(args: argparse.Namespace, current_loss, avr_loss, lr_sche
 
         for i in range(idx, len(lrs)):
             logs[f"lr/group{i}"] = float(lrs[i])
-            if args.optimizer_type.lower() == "DAdaptation".lower() or args.optimizer_type.lower() == "DAdaptAdam".lower() or args.optimizer_type.lower() == "DAdaptAdan".lower() or args.optimizer_type.lower() == "DAdaptSGD".lower():
+            if args.optimizer_type.lower() == "DAdaptation".lower() or args.optimizer_type.lower() == "DAdaptAdam".lower() or args.optimizer_type.lower() == "DAdaptAdaGrad".lower() or args.optimizer_type.lower() == "DAdaptAdan".lower() or args.optimizer_type.lower() == "DAdaptSGD".lower():
                 logs[f"lr/d*lr/group{i}"] = (
                     lr_scheduler.optimizers[-1].param_groups[i]["d"] * lr_scheduler.optimizers[-1].param_groups[i]["lr"]
                 )