|
--- |
|
language: |
|
- en |
|
tags: |
|
- BERTicelli |
|
- text classification |
|
- abusive language |
|
- hate speech |
|
- offensive language |
|
datasets: |
|
- OLID |
|
license: apache-2.0 |
|
widget: |
|
- text: "Go home, you're drunk!" |
|
example_title: "Example 1" |
|
--- |
|
|
|
[Mona Allaert](https://github.com/MonaDT) • |
|
[Leonardo Grotti](https://github.com/corvusMidnight) • |
|
[Patrick Quick](https://github.com/patrickquick) |
|
|
|
## Model description |
|
|
|
BERTicelli is an English pre-trained BERT model obtained by fine-tuning the [English BERT base cased model](https://github.com/google-research/bert) with the training data from [Offensive Language Identification Dataset (OLID)](https://scholar.harvard.edu/malmasi/olid). |
|
|
|
This model was developed for the NLP Shared Task in the Digital Text Analysis program at the University of Antwerp (2021–2022). |
