diff --git a/03_Model_customization/01_fine-tuning-titan-lite.ipynb b/03_Model_customization/01_fine-tuning-titan-lite.ipynb
index 87f05fef..93be87d9 100644
--- a/03_Model_customization/01_fine-tuning-titan-lite.ipynb
+++ b/03_Model_customization/01_fine-tuning-titan-lite.ipynb
@@ -191,7 +191,7 @@
     "\n",
     "Amazon Titan text model customization hyperparameters: \n",
     "- `epochs`: The number of iterations through the entire training dataset and can take up any integer values in the range of 1-10, with a default value of 5.\n",
-    "- `batchSize`: The number of samples processed before updating model parametersand can take up any integer values in the range of 1-64, with a default value of 1.\n",
+    "- `batchSize`: The number of samples processed before updating model parameters and can take up any integer values in the range of 1-64, with a default value of 1.\n",
     "- `learningRate`:\tThe rate at which model parameters are updated after each batch\twhich can take up a float value betweek 0.0-1.0 with a default value set to\t1.00E-5.\n",
     "- `learningRateWarmupSteps`: The number of iterations over which the learning rate is gradually increased to the specified rate and can take any integer value between 0-250 with a default value of 5.\n",
     "\n",
diff --git a/03_Model_customization/03_continued_pretraining_titan_text.ipynb b/03_Model_customization/03_continued_pretraining_titan_text.ipynb
index c2bebce8..4a6da40f 100644
--- a/03_Model_customization/03_continued_pretraining_titan_text.ipynb
+++ b/03_Model_customization/03_continued_pretraining_titan_text.ipynb
@@ -449,7 +449,7 @@
     "\n",
     "while training_job_status == \"InProgress\":\n",
     "    time.sleep(60)\n",
-    "    fine_tune_job = bedrock.get_model_customization_job(jobIdentifier=customization_job_name)[\"status\"]\n",
+    "    training_job_status = bedrock.get_model_customization_job(jobIdentifier=customization_job_name)[\"status\"]\n",
     "    print (training_job_status)"
    ]
   },