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@@ -21,13 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  The PeroVazPT-PTBR Classifier is designed to classify text between European Portuguese (PT-PT) and Brazilian Portuguese (PT-BR).
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  This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the [VeraCruz Dataset](https://huggingface.co/datasets/LemeExploreNau/VeraCruz).
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- It achieves the following results on the evaluation set:
 
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  - Loss: 0.1791
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  - Accuracy: 0.9461
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- ## Training Data
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- The model was trained on the [VeraCruz Dataset](https://huggingface.co/datasets/LemeExploreNau/VeraCruz), a collection of text samples from both languages. The model was trained on a total of 500,000 examples, a evenly split between European Portuguese and Brazilian Portuguese, ensuring a balanced representation of both language variants.
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  The PeroVazPT-PTBR Classifier is designed to classify text between European Portuguese (PT-PT) and Brazilian Portuguese (PT-BR).
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  This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the [VeraCruz Dataset](https://huggingface.co/datasets/LemeExploreNau/VeraCruz).
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+ The model was trained on the [VeraCruz Dataset](https://huggingface.co/datasets/LemeExploreNau/VeraCruz), a collection of text samples from both languages. The model was trained on a total of 500,000 examples, a evenly split between European Portuguese and Brazilian Portuguese, ensuring a balanced representation of both language variants.
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+ It achieves the following results on an evaluation set of 50,000 examples:
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  - Loss: 0.1791
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  - Accuracy: 0.9461
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  ### Training hyperparameters
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  The following hyperparameters were used during training: