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README.md

@@ -6,10 +6,10 @@ datasets:
 ---
 
 
-# mDeBERTa base for Semantic Textual Similarity
+# mDeBERTa v3 base for Semantic Textual Similarity
 
 This is the [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) model finetuned for 
-Semantic Textual Similarity with the [ASSIN 2](huggingface.co/datasets/assin2) dataset. 
+Semantic Textual Similarity with the [ASSIN 2](https://huggingface.co/datasets/assin2) dataset. 
 This model is suitable for Portuguese.
 
 - Git Repo: [Evaluation of Portuguese Language Models](https://github.com/ruanchaves/eplm).
@@ -35,12 +35,6 @@ with torch.no_grad():
     print(f"Similarity Score: {np.round(float(score), 4)}")
 ```
 
-Output: 
-
-```
-Similarity Score: 3.274
-```
-
 ## Citation 
 
 Our research is ongoing, and we are currently working on describing our experiments in a paper, which will be published soon. 
@@ -51,7 +45,7 @@ In the meanwhile, if you would like to cite our work or models before the public
 author = {Chaves Rodrigues, Ruan and Tanti, Marc and Agerri, Rodrigo},
 doi = {10.5281/zenodo.7781848},
 month = {3},
-title = {{eplm}},
+title = ,
 url = {https://github.com/ruanchaves/eplm},
 version = {1.0.0},
 year = {2023}