Update README.md

README.md

@@ -28,6 +28,7 @@ Vietnamese_Embedding is an embedding model fine-tuned from the BGE-M3 model (htt
 - **Output Dimensionality:** 1024 dimensions
 - **Similarity Function:** Dot product Similarity
 - **Language:** Vietnamese
+- **Licence:** cc-by-nc-4.0
 
 ## Usage
 
@@ -64,7 +65,7 @@ array([[0.66212064, 0.33066642],
 | Vietnamese-bi-encoder (BKAI)         | 0.7109     | 0.8680     | 0.9014     | 0.9299      | 0.9772      | 0.7951       | 
 | BGE-M3 | 0.5682     | 0.7728     | 0.8382     | 0.8921      | 0.9772      | 0.6822       |
 
-Vietnamese Reranker (Phase 2) and Vietnamese Reranker (Phased) was trained on 1100000 triplets. Although the score on the legal domain drops a bit, since this phase data is much larger, it is very good for other domains.
+Vietnamese Reranker (Phase 2) and Vietnamese Reranker (Phased) was trained on 1100000 triplets. Although the score on the legal domain drops a bit on Vietnamese_Embedding (Phase 2), since this phase data is much larger, it is very good for other domains.
 
 You can reproduce the evaluation result by running code python evaluation_model.py (data downloaded from Kaggle).
 
@@ -74,6 +75,7 @@ Member: Nguyễn Nho Trung, Nguyễn Nhật Quang
 
 ## Contact
 
+If you want to use it in a production environment, please contact me via email.
 
 **Email**: 
 - nguyennhotrung3004@gmail.com