Update README.md

README.md

@@ -85,13 +85,15 @@ print(sentence_embeddings)
 | ---------------------------------------- | ---------- |---------- |
 | paraphrase-multilingual-mpnet-base-v2| Assin | 0.743740222 |
 | paraphrase-multilingual-mpnet-base-v2| Assin2| 0.823565322 |
+| paraphrase-multilingual-mpnet-base-v2| stsb_multi_mt pt| 0.83999 |
 | paraphrase-multilingual-mpnet-base-v2 Fine tuned with assin(s)| Assin | 0.77641  |
 | paraphrase-multilingual-mpnet-base-v2 Fine tuned with assin(s)| Assin2| 0.79831 |
+| paraphrase-multilingual-mpnet-base-v2 Fine tuned with assin(s)| stsb_multi_mt pt| 0.84575 |
 
 ## Training
 
 Legal-SBERTimbau-large is based on Legal-BERTimbau-large whioch derives from [BERTimbau](https://huggingface.co/neuralmind/bert-base-portuguese-cased) Large.
-It was trained using the multilingual knowledge distillation process, meaning it was trained as a multilingual model. This was chosen due to the lack of Portuguese available data.
+It was trained for Natural Language Inference (NLI). This was chosen due to the lack of Portuguese available data.
 In addition to that, it was submitted to a fine tuning stage with the [assin](https://huggingface.co/datasets/assin) and [assin2](https://huggingface.co/datasets/assin2) datasets.
 
 ## Full Model Architecture