BenjaminOcampo / peace_hatebert

huggingface.co
Total runs: 7
24-hour runs: 0
7-day runs: -1
30-day runs: 1
Model's Last Updated: July 31 2024
text-classification

Introduction of peace_hatebert

Model Details of peace_hatebert

This model card documents the demo paper "PEACE: Providing Explanations and Analysis for Combating Hate Expressions" accepted at the 27th European Conference on Artificial Intelligence: https://www.ecai2024.eu/calls/demos .

The Model

This model is a hate speech detector fine-tuned specifically for detecting implicit hate speech. It is based on the paper "PEACE: Providing Explanations and Analysis for Combating Hate Expressions" by Greta Damo, Nicolás Benjamín Ocampo, Elena Cabrio, and Serena Villata, presented at the 27th European Conference on Artificial Intelligence.

Training Parameters and Experimental Info

The model was trained using the ISHate dataset, focusing on implicit data. Training parameters included:

  • Batch size: 32
  • Weight decay: 0.01
  • Epochs: 4
  • Learning rate: 2e-5

For detailed information on the training process, please refer to the model's paper .

Datasets

The model was trained on the ISHate dataset , specifically the training part of the dataset which focuses on implicit hate speech.

Evaluation Results

The model's performance was evaluated using standard metrics, including F1 score and accuracy. For comprehensive evaluation results, refer to the linked paper.

Authors:

Runs of BenjaminOcampo peace_hatebert on huggingface.co

7
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
1
30-day runs

More Information About peace_hatebert huggingface.co Model

More peace_hatebert license Visit here:

https://choosealicense.com/licenses/bsl-1.0

peace_hatebert huggingface.co

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BenjaminOcampo peace_hatebert online free url in huggingface.co:

https://huggingface.co/BenjaminOcampo/peace_hatebert

peace_hatebert install

peace_hatebert is an open source model from GitHub that offers a free installation service, and any user can find peace_hatebert on GitHub to install. At the same time, huggingface.co provides the effect of peace_hatebert install, users can directly use peace_hatebert installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

peace_hatebert install url in huggingface.co:

https://huggingface.co/BenjaminOcampo/peace_hatebert

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BenjaminOcampo
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