---
license: mit
datasets:
- FpOliveira/TuPi-Portuguese-Hate-Speech-Dataset-Binary
language:
- pt
metrics:
- accuracy
- precision
- recall
- f1
pipeline_tag: text-classification
---

## Introduction


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.
For more details or specific inquiries, please refer to the [BERTimbau repository](https://github.com/neuralmind-ai/portuguese-bert/).

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.

## Available models

| Model                                    | Arch.      | #Layers | #Params |
| ---------------------------------------- | ---------- | ------- | ------- |
| `FpOliveira/tupi-bert-base-portuguese-cased`  | BERT-Base	|12	|109M|
| `FpOliveira/tupi-bert-large-portuguese-cased` | BERT-Large | 24      | 334M    |
| `FpOliveira/tupi-bert-base-portuguese-cased-multiclass-multilabel` | BERT-Base | 24      | 109M    |
| `FpOliveira/tupi-bert-large-portuguese-cased-multiclass-multilabel` | BERT-Large | 24      | 334M    |