diff --git a/FaqGen/benchmark/accuracy/evaluate.py b/FaqGen/benchmark/accuracy/evaluate.py
index 30998da4d..da75502ce 100644
--- a/FaqGen/benchmark/accuracy/evaluate.py
+++ b/FaqGen/benchmark/accuracy/evaluate.py
@@ -35,7 +35,7 @@
     contexts.append([inputs_faq])
 
 embeddings = HuggingFaceBgeEmbeddings(model_name="BAAI/bge-base-en-v1.5")
-metrics_faq = ["answer_relevancy", "faithfulness", "context_utilization", "reference_free_rubrics_score"]
+metrics_faq = ["answer_relevancy", "faithfulness", "context_utilization", "rubrics_score_without_reference"]
 metric = RagasMetric(threshold=0.5, model=llm_endpoint, embeddings=embeddings, metrics=metrics_faq)
 
 test_case = {"question": question, "answer": answer, "ground_truth": ground_truth, "contexts": contexts}
diff --git a/FaqGen/benchmark/accuracy/launch_tgi.sh b/FaqGen/benchmark/accuracy/launch_tgi.sh
index f4ac9eade..a504f2a41 100644
--- a/FaqGen/benchmark/accuracy/launch_tgi.sh
+++ b/FaqGen/benchmark/accuracy/launch_tgi.sh
@@ -11,7 +11,6 @@ docker run -it --rm \
     -p $port_number:80 \
     -v $volume:/data \
     --runtime=habana \
-    --restart always \
     -e HUGGING_FACE_HUB_TOKEN=$HUGGING_FACE_HUB_TOKEN \
     -e HABANA_VISIBLE_DEVICES=all \
     -e OMPI_MCA_btl_vader_single_copy_mechanism=none \