Update README.md

README.md

@@ -6,7 +6,8 @@ tags:
 - feature-extraction
 - sentence-similarity
 - transformers
-
+language:
+- vi
 ---
 
 # NghiemAbe/Vi-Legal-Bi-Encoder-v2
@@ -77,24 +78,14 @@ print(sentence_embeddings)
 
 ## Evaluation Results
 
-<!--- Describe how your model was evaluated -->
-
-For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name=NghiemAbe/Vi-Legal-Bi-Encoder-v2)
-
-
-## Training
-The model was trained with the parameters:
-
-
-
-## Full Model Architecture
-```
-SentenceTransformer(
-  (0): Transformer({'max_seq_length': 256, 'do_lower_case': False}) with Transformer model: RobertaModel 
-  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
-)
-```
-
-## Citing & Authors
-
-<!--- Describe where people can find more information -->
+I evaluated my [Dev-Legal-Dataset](https://huggingface.co/datasets/NghiemAbe/dev_legal) and here are the results:
+
+| Model                                                                  | R@1  | R@5  | R@10 | R@20 | R@100 | MRR@5 | MRR@10 | MRR@20 | MRR@100 | Avg  |
+|------------------------------------------------------------------------|------|------|------|------|-------|-------|--------|--------|---------|------|
+| keepitreal/vietnamese-sbert                                            | 0.278| 0.552| 0.649| 0.734| 0.842 | 0.396 | 0.409  | 0.415  | 0.417   | 0.521|
+| sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2            | 0.314| 0.486| 0.585| 0.662| 0.854 | 0.395 | 0.409  | 0.414  | 0.419   | 0.504|
+| sentence-transformers/paraphrase-multilingual-mpnet-base-v2            | 0.354| 0.553| 0.646| 0.750| 0.896 | 0.449 | 0.461  | 0.468  | 0.472   | 0.561|
+| intfloat/multilingual-e5-small                                         | 0.488| 0.746| 0.835| 0.906| 0.962 | 0.610 | 0.620  | 0.624  | 0.625   | 0.713|
+| intfloat/multilingual-e5-base                                          | 0.466| 0.740| 0.840| 0.907| 0.952 | 0.596 | 0.608  | 0.612  | 0.613   | 0.704|
+| bkai-foundation-models/vietnamese-bi-encoder                           | 0.644| 0.881| 0.924| 0.954| 0.986 | 0.752 | 0.757  | 0.758  | 0.759   | 0.824|
+| Vi-Legal-Bi-Encoder-v2                                                 | 0.720| 0.884| 0.935| 0.963| 0.986 | 0.796 | 0.802  | 0.803  | 0.804   | 0.855|