Update README.md

README.md

@@ -112,30 +112,18 @@ The model was trained for one day on a2-megagpu-16gb Google Cloud A2 VMs with 16
 
 # Evaluation
 
-The two base model versions were evaluated on downstream tasks, namely the translations into PT-BR and PT-PT of the English data sets used for a few of the tasks in the widely-used [GLUE benchmark](https://huggingface.co/datasets/glue), which allowed us to test both Albertina-PT-* Base variants on a wider variety of downstream tasks.
+The base model version was evaluated on downstream tasks, namely the translations into PT-PT of the English data sets used for a few of the tasks in the widely-used [GLUE benchmark](https://huggingface.co/datasets/glue).
 
 
 ## GLUE tasks translated
 
-We resort to [PLUE](https://huggingface.co/datasets/dlb/plue) (Portuguese Language Understanding Evaluation), a data set that was obtained by automatically translating GLUE into **PT-BR**.
-We address four tasks from those in PLUE, namely:
-- two similarity tasks: MRPC, for detecting whether two sentences are paraphrases of each other, and STS-B, for semantic textual similarity;
-- and two inference tasks: RTE, for recognizing textual entailment and WNLI, for coreference and natural language inference.
-  
-
-| Model                    | RTE (Accuracy) | WNLI (Accuracy)| MRPC (F1) | STS-B (Pearson) |
-|--------------------------|----------------|----------------|-----------|-----------------|
-| **Albertina-PT-BR Base** |  0.6462        | **0.5493**         | 0.8779    | 0.8501          |
-| **Albertina-PT-PT Base** |  **0.6643**        | 0.4366         | **0.8966**    | **0.8608**          |
-
 
 We resorted to [GLUE-PT](https://huggingface.co/datasets/PORTULAN/glue-ptpt), a **PT-PT version of the GLUE** benchmark. 
 We automatically translated the same four tasks from GLUE using [DeepL Translate](https://www.deepl.com/), which specifically provides translation from English to PT-PT as an option.
 
 | Model                    | RTE (Accuracy) | WNLI (Accuracy)| MRPC (F1) | STS-B (Pearson) |
 |--------------------------|----------------|----------------|-----------|-----------------|
-| **Albertina-PT-PT Base** |  **0.6787**        | 0.4507         | 0.8829    | **0.8581**          |
-| **Albertina-PT-BR Base** |  0.6570        | **0.5070**         | **0.8900**    | 0.8516          |
+| **Albertina-PT-PT Base** |  0.6787        | 0.4507         | 0.8829    | 0.8581          |
 
 <br>