Update cross_encoder_eval.ipynb

cross_encoder_eval.ipynb

@@ -28,8 +28,6 @@
    "source": [
     "model_path = '...'\n",
     "qd_df = pd.read_parquet('AutoRAG-example-korean-embedding-benchmark/data/qa_v4.parquet')\n",
-    "qd_df['generation_gt'].apply(lambda x : len(x)).describe()\n",
-    "qd_df['retrieval_gt'].apply(lambda x : len(x[0])).describe()\n",
     "qd_df['retrieval_gt'] = qd_df['retrieval_gt'].apply(lambda x : x[0][0])\n",
     "\n",
     "corpus_df = pd.read_parquet('AutoRAG-example-korean-embedding-benchmark/data/ocr_corpus_v3.parquet')\n",
@@ -197,7 +195,7 @@
     "    return accuracies, f1_scores, recalls, precisions\n",
     "\n",
     "\n",
-    "# 모델 평가 및 결과 저장\n",
+    "# 모델 평가 \n",
     "reranker = FlagReranker(model_path, use_fp16=True)\n",
     "\n",
     "accuracies, f1_scores, recalls, precisions = evaluate_model(\n",