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README.md

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+---
+base_model: BenjaminOcampo/model-hatebert__trained-in-ishate__seed-0
+datasets:
+- ISHate
+language:
+- en
+library_name: transformers
+license: bsl-1.0
+metrics:
+- f1
+- accuracy
+tags:
+- hate-speech-detection
+- implicit-hate-speech
+---
+
+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](https://aclanthology.org/2023.findings-emnlp.441/).
+
+# Datasets
+The model was trained on the [ISHate dataset](https://huggingface.co/datasets/BenjaminOcampo/ISHate), 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:
+- [Greta Damo](https://grexit-d.github.io/damo.greta.github.io/)
+- [Nicolás Benjamín Ocampo](https://www.nicolasbenjaminocampo.com/)
+- [Elena Cabrio](https://www-sop.inria.fr/members/Elena.Cabrio/)
+- [Serena Villata](https://webusers.i3s.unice.fr/~villata/Home.html)