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albertina-100m-portuguese-ptbr-encoder

albertina-ptpt-base

albertina-ptbr-base

foundation model

Inference Endpoints

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jarodrigues commited on Jun 20, 2023

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@@ -120,10 +120,11 @@ We address four tasks from those in PLUE, namely:
 - 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**      | **0.7545**     | 0.4601         | **0.9071**  | **0.8910**      |
-| **Albertina-PT-BR Base** |  0.6462        | **0.5493**     | 0.8779    | 0.8501          |
 <br>

 - 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 No-brWaC** | **0.7798**     | 0.5070         | **0.9167**| 0.8743
+| **Albertina-PT-BR**          | 0.7545         | 0.4601         | 0.9071    | **0.8910**      |
+| **Albertina-PT-BR Base**     | 0.6462         | **0.5493**     | 0.8779    | 0.8501          |
 <br>