Update README.md

README.md

@@ -129,7 +129,7 @@ model-index:
       value: 0.7694903427297795
       name: Cosine Recall@10
     - type: cosine_ndcg@10
-      value: 0.6723275985412543
+      value: 0.6833112035481234
       name: Cosine Ndcg@10
     - type: cosine_mrr@10
       value: 0.7262426410313736
@@ -187,6 +187,10 @@ base_model:
 - BAAI/bge-m3
 ---
 
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/642b0c2fecec03b4464a1d9b/IxcqY5qbGNuGpqDciIcOI.webp" width="600">
+
+
 # SentenceTransformer
 
 This is a [sentence-transformers](https://www.SBERT.net) model trained on the train_set dataset. It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
@@ -401,7 +405,7 @@ This is a benchmark of Korean embedding models.
 | cosine_recall@3     | 0.5902     |
 | cosine_recall@5     | 0.6794     |
 | cosine_recall@10    | 0.7695     |
-| **cosine_ndcg@10**  | **0.6723** |
+| **cosine_ndcg@10**  | **0.6833** |
 | cosine_mrr@10       | 0.7262     |
 | cosine_map@100      | 0.6074     |
 | dot_accuracy@1      | 0.6103     |