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README.md

@@ -6,9 +6,9 @@ datasets:
 ---
 
 
-# mDeBERTa base for Text Simplification
+# mDeBERTa v3 base for Text Simplification
 
-This is the [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) model finetuned for 
+This is the [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) model finetuned for 
 Text Simplification with the [PorSimplesSent](https://huggingface.co/ruanchaves/porsimplessent) dataset. 
 This model is suitable for Portuguese.
 
@@ -48,14 +48,6 @@ with torch.no_grad():
         print(f"{i+1}) Label: {l} Score: {np.round(float(s), 4)}")
 ```
 
-Output: 
-
-```
-1) Label: 0 Score: 1.0
-2) Label: 1 Score: 0.0
-3) Label: 2 Score: 0.0
-```
-
 ## Citation 
 
 Our research is ongoing, and we are currently working on describing our experiments in a paper, which will be published soon. 
@@ -66,7 +58,7 @@ 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}