Update README.md

README.md

@@ -28,4 +28,23 @@ embeddings, _ = model(**inputs, return_dict=False)
 
 score01 = cal_score(embeddings[0][0], embeddings[1][0])
 score02 = cal_score(embeddings[0][0], embeddings[2][0])
-```
+```
+
+## Performance
+- Semantic Textual Similarity test set results <br>
+
+| Model                  | AVG | Cosine Pearson | Cosine Spearman | Euclidean Pearson | Euclidean Spearman | Manhattan Pearson | Manhattan Spearman | Dot Pearson | Dot Spearman |
+|------------------------|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|
+| KoSBERT<sup>†</sup><sub>SKT</sub>    | 77.40 | 78.81 | 78.47 | 77.68 | 77.78 | 77.71 | 77.83 | 75.75 | 75.22 |
+| KoSBERT              | 80.39 | 82.13 | 82.25 | 80.67 | 80.75 | 80.69 | 80.78 | 77.96 | 77.90 |
+| KoSRoBERTa           | 81.64 | 81.20 | 82.20 | 81.79 | 82.34 | 81.59 | 82.20 | 80.62 | 81.25 |
+| | | | | | | | | |
+| KoSentenceBART         | 77.14 | 79.71 | 78.74 | 78.42 | 78.02 | 78.40 | 78.00 | 74.24 | 72.15 |
+| KoSentenceT5          | 77.83 | 80.87 | 79.74 | 80.24 | 79.36 | 80.19 | 79.27 | 72.81 | 70.17 |
+| | | | | | | | | |
+| KoSimCSE-BERT<sup>†</sup><sub>SKT</sub>   | 81.32 | 82.12 | 82.56 | 81.84 | 81.63 | 81.99 | 81.74 | 79.55 | 79.19 |
+| KoSimCSE-BERT              | 83.37 | 83.22 | 83.58 | 83.24 | 83.60 | 83.15 | 83.54 | 83.13 | 83.49 |
+| KoSimCSE-RoBERTa          | 83.65 | 83.60 | 83.77 | 83.54 | 83.76 | 83.55 | 83.77 | 83.55 | 83.64 |
+| | | | | | | | | | |
+| KoSimCSE-BERT-multitask              | 85.71 | 85.29 | 86.02 | 85.63 | 86.01 | 85.57 | 85.97 | 85.26 | 85.93 |
+| KoSimCSE-RoBERTa-multitask          | 85.77 | 85.08 | 86.12 | 85.84 | 86.12 | 85.83 | 86.12 | 85.03 | 85.99 |