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license: mit |
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datasets: |
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- FpOliveira/TuPi-Portuguese-Hate-Speech-Dataset-Binary |
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language: |
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- pt |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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pipeline_tag: text-classification |
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--- |
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## Introduction |
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Tupi-BERT-Base represents a fine-tuned BERT model designed specifically for binary classification of hate speech in Portuguese. Derived from the [BERTimbau base](https://huggingface.co/neuralmind/bert-base-portuguese-cased), TuPi-Base is refinde solution for addressing hate speech concerns. |
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For more details or specific inquiries, please refer to the [BERTimbau repository](https://github.com/neuralmind-ai/portuguese-bert/). |
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The efficacy of Language Models can exhibit notable variations when confronted with a shift in domain between training and test data. In the creation of a specialized Portuguese Language Model tailored for hate speech classification, the original BERTimbau model underwent fine-tuning processe carried out on the [TuPi Hate Speech DataSet](https://huggingface.co/datasets/FpOliveira/TuPi-Portuguese-Hate-Speech-Dataset-Binary), sourced from diverse social networks. |
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## Available models |
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| Model | Arch. | #Layers | #Params | |
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| ---------------------------------------- | ---------- | ------- | ------- | |
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| `FpOliveira/tupi-bert-base-portuguese-cased` | BERT-Base |12 |109M| |
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| `FpOliveira/tupi-bert-large-portuguese-cased` | BERT-Large | 24 | 334M | |
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| `FpOliveira/tupi-bert-base-portuguese-cased-multiclass-multilabel` | BERT-Base | 24 | 109M | |
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| `FpOliveira/tupi-bert-large-portuguese-cased-multiclass-multilabel` | BERT-Large | 24 | 334M | |
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