Update README.md

README.md

@@ -187,41 +187,24 @@ print(similarities.shape)
 
 ## Evaluation
 
-### Metrics
-
-#### Semantic Similarity
-* Dataset: `sts-dev`
-* Evaluated with [<code>EmbeddingSimilarityEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator)
-
-| Metric              | Value     |
-|:--------------------|:----------|
-| pearson_cosine      | 0.8391    |
-| **spearman_cosine** | **0.841** |
-| pearson_manhattan   | 0.8277    |
-| spearman_manhattan  | 0.8361    |
-| pearson_euclidean   | 0.8274    |
-| spearman_euclidean  | 0.8358    |
-| pearson_dot         | 0.8154    |
-| spearman_dot        | 0.818     |
-| pearson_max         | 0.8391    |
-| spearman_max        | 0.841     |
-
-#### Semantic Similarity
-* Dataset: `sts-test`
-* Evaluated with [<code>EmbeddingSimilarityEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator)
-
-| Metric              | Value      |
-|:--------------------|:-----------|
-| pearson_cosine      | 0.813      |
-| **spearman_cosine** | **0.8173** |
-| pearson_manhattan   | 0.8114     |
-| spearman_manhattan  | 0.8164     |
-| pearson_euclidean   | 0.8103     |
-| spearman_euclidean  | 0.8158     |
-| pearson_dot         | 0.7908     |
-| spearman_dot        | 0.7887     |
-| pearson_max         | 0.813      |
-| spearman_max        | 0.8173     |
+| Model                                    | Dim  | # Params. | STS17 | STS22-v2 | Average |
+|------------------------------------------|------|-----------|-------|----------|---------|
+| Arabic-Triplet-Matryoshka-V2             | 768  | 135M      | 85    | 64       | 75      |
+| Arabert-all-nli-triplet-Matryoshka       | 768  | 135M      | 83    | 64       | 74      |
+| AraGemma-Embedding-300m                  | 768  | 303M      | 84    | 62       | 73      |
+| **GATE-AraBert-V1**                          | 767  | 135M      | 83    | 63       | 73      |
+| Marbert-all-nli-triplet-Matryoshka       | 768  | 163M      | 82    | 61       | 72      |
+| Arabic-labse-Matryoshka                  | 768  | 471M      | 82    | 61       | 72      |
+| AraEuroBert-Small                        | 768  | 210M      | 80    | 61       | 71      |
+| E5-all-nli-triplet-Matryoshka            | 384  | 278M      | 80    | 60       | 70      |
+| text-embedding-3-large                   | 3072 | -         | 81    | 59       | 70      |
+| Arabic-all-nli-triplet-Matryoshka        | 768  | 135M      | 82    | 54       | 68      |
+| AraEuroBert-Mid                          | 1151 | 610M      | 83    | 53       | 68      |
+| paraphrase-multilingual-mpnet-base-v2    | 768  | 135M      | 79    | 55       | 67      |
+| AraEuroBert-Large                        | 2304 | 2.1B      | 79    | 55       | 67      |
+| text-embedding-ada-002                   | 1536 | -         | 71    | 62       | 66      |
+| text-embedding-3-small                   | 1536 | -         | 72    | 57       | 65      |
+
 
 
 ## <span style="color:blue">Acknowledgments</span>