diff --git a/environments/community/pytorch_optimizer_coding/FOB/examples/neps/hpo.py b/environments/community/pytorch_optimizer_coding/FOB/examples/neps/hpo.py
index dbfa1049..67d5d677 100644
--- a/environments/community/pytorch_optimizer_coding/FOB/examples/neps/hpo.py
+++ b/environments/community/pytorch_optimizer_coding/FOB/examples/neps/hpo.py
@@ -13,7 +13,7 @@ from neps.utils.common import get_initial_directory, load_lightning_checkpoint
 from pytorch_fob.engine.engine import Engine, Run
 
 #############################################################
-# Definig the seeds for reproducibility
+# Defining the seeds for reproducibility
 
 
 def set_seed(seed=42):
@@ -56,7 +56,7 @@ def search_space(run: Run) -> dict:
     return space
 
 
-def create_exmperiment(run: Run, config: dict) -> dict:
+def create_experiment(run: Run, config: dict) -> dict:
     new_config = run.get_config().copy()
     for k, v in config.items():
         if k == "one_minus_beta1":
@@ -78,7 +78,7 @@ def create_pipline(base_run: Run):
 
         # Initialize the model and checkpoint dir
         engine = Engine()
-        engine.parse_experiment(create_exmperiment(base_run, config))
+        engine.parse_experiment(create_experiment(base_run, config))
         run = next(engine.runs())
         run.ensure_max_steps()
         model, datamodule = run.get_task()