Update README.md

README.md

@@ -1,7 +1,7 @@
 ---
 license: mit
 datasets:
-- Silly-Machine/TuPy-Dataset
+- Silly-Machine/TuPyE-Dataset
 language:
 - pt
 
@@ -16,8 +16,8 @@ model-index:
       - task:
           type: text-classfication
         dataset:
-          name: Silly-Machine/TuPy-Dataset
-          type: Silly-Machine/TuPy-Dataset
+          name: Silly-Machine/TuPyE-Dataset
+          type: Silly-Machine/TuPyE-Dataset
         metrics:
           - name: f1
             type: f1
@@ -39,10 +39,10 @@ The efficacy of Language Models can exhibit notable variations when confronted w
 
 | Model                                    | Arch.      | #Layers | #Params |
 | ---------------------------------------- | ---------- | ------- | ------- |
-| `FpOliveira/tupi-bert-base-portuguese-cased`  | BERT-Base	|12	|109M|
-| `FpOliveira/tupi-bert-large-portuguese-cased` | BERT-Large | 24      | 334M    |
-| `FpOliveira/tupi-bert-base-portuguese-cased-multiclass-multilabel` | BERT-Base | 12      | 109M    |
-| `FpOliveira/tupi-bert-large-portuguese-cased-multiclass-multilabel` | BERT-Large | 24      | 334M    |
+| `Silly-Machine/TuPy-Bert-Base-Binary-Classifier`  | BERT-Base	|12	|109M|
+| `Silly-Machine/TuPy-Bert-Large-Binary-Classifier` | BERT-Large | 24      | 334M    |
+| `Silly-Machine/TuPy-Bert-Base-Multilabel` | BERT-Base | 12      | 109M    |
+| `Silly-Machine/TuPy-Bert-Large-Multilabel` | BERT-Large | 24      | 334M    |
 
 ## Example usage usage