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, TuPi are model family dedicated solution for addressing hate speech concerns. For more details or specific inquiries, please refer to the BERTimbau repository. 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 meticulous fine-tuning. This process entailed a singular "PreTraining" epoch carried out on the TuPi Hate Speech DataSet, sourced from diverse social networks.
Available models
| Model | Arch. | #Layers | #Params |
|---|---|---|---|
FpOliveira/tupi-bert-base-portuguese-cased |
BERT-Base | 12 | 110M |
FpOliveira/tupi-bert-large-portuguese-cased |
BERT-Large | 24 | 335M |
FpOliveira/tupi-bert-large-portuguese-cased |
BERT-Large | 24 | 335M |
FpOliveira/tupi-bert-large-portuguese-cased |
BERT-Large | 24 | 335M |