diff --git a/QEfficient/finetune/utils/train_utils.py b/QEfficient/finetune/utils/train_utils.py
index 6113f2b03..45b995124 100644
--- a/QEfficient/finetune/utils/train_utils.py
+++ b/QEfficient/finetune/utils/train_utils.py
@@ -123,11 +123,12 @@ def train(
             break
 
         if train_config.use_peft and train_config.from_peft_checkpoint:
+            path = train_config.from_peft_checkpoint.rstrip("/")
             try:
-                intermediate_epoch = int(train_config.from_peft_checkpoint.split("/")[-2].split("_")[-1]) - 1
-                intermediate_step = int(train_config.from_peft_checkpoint.split("/")[-1].split("_")[-1])
+                intermediate_epoch = int(path.split("/")[-2].split("_")[-1]) - 1
+                intermediate_step = int(path.split("/")[-1].split("_")[-1])
             except (IndexError, ValueError):
-                intermediate_epoch = int(train_config.from_peft_checkpoint.split("/")[-1].split("_")[-1]) - 1
+                intermediate_epoch = int(path.split("/")[-1].split("_")[-1]) - 1
                 intermediate_step = 0
 
             if epoch < intermediate_epoch:
@@ -374,7 +375,7 @@ def train(
                 eval_step_metric,
                 eval_metric,
             )
-    avg_epoch_time = sum(epoch_times) / len(epoch_times)
+    avg_epoch_time = sum(epoch_times) / len(epoch_times) if len(epoch_times) > 0 else 0
     avg_checkpoint_time = sum(checkpoint_times) / len(checkpoint_times) if len(checkpoint_times) > 0 else 0
 
     results["last_epoch_train_loss"] = train_epoch_loss.cpu()