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--- |
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license: mit |
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datasets: |
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- LemeExploreNau/VeraCruz |
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language: |
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- pt |
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metrics: |
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- accuracy |
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tags: |
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- Portuguese |
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- Brazilian |
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- Language Classification |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# PeroVazPT-BR Classifier |
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## Model Description |
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The PeroVazPT-BR Classifier is designed to classify text between European Portuguese (PT) and Brazilian Portuguese (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: |
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- learning_rate: 5e-05 |
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- train_batch_size: 256 |
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- eval_batch_size: 256 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- steps: 2500 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.4772 | 0.06 | 500 | 0.2501 | 0.9080 | |
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| 0.3412 | 0.13 | 1000 | 0.2275 | 0.9135 | |
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| 0.3122 | 0.19 | 1500 | 0.2578 | 0.9014 | |
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| 0.2975 | 0.25 | 2000 | 0.1992 | 0.9396 | |
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| 0.2877 | 0.31 | 2500 | 0.1791 | 0.9461 | |
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### Framework versions |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.2.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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