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+ ---
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+ base_model: BenjaminOcampo/model-bert__trained-in-ishate__seed-0
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+ datasets:
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+ - ISHate
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+ language:
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+ - en
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+ library_name: transformers
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+ license: bsl-1.0
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+ metrics:
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+ - f1
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+ - accuracy
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+ tags:
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+ - hate-speech-detection
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+ - implicit-hate-speech
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+ ---
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+
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+ This model card documents the demo paper "PEACE: Providing Explanations and
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+ Analysis for Combating Hate Expressions" accepted at the 27th European
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+ Conference on Artificial Intelligence: https://www.ecai2024.eu/calls/demos.
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+
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+ # The Model
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+ This model is a hate speech detector fine-tuned specifically for detecting
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+ implicit hate speech. It is based on the paper "PEACE: Providing Explanations
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+ and Analysis for Combating Hate Expressions" by Greta Damo, Nicolás Benjamín
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+ Ocampo, Elena Cabrio, and Serena Villata, presented at the 27th European
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+ Conference on Artificial Intelligence.
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+
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+ # Training Parameters and Experimental Info
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+ The model was trained using the ISHate dataset, focusing on implicit data.
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+ Training parameters included:
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+ - Batch size: 32
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+ - Weight decay: 0.01
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+ - Epochs: 4
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+ - Learning rate: 2e-5
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+
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+ For detailed information on the training process, please refer to the [model's
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+ paper](https://aclanthology.org/2023.findings-emnlp.441/).
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+
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+ # Datasets
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+ The model was trained on the [ISHate dataset](https://huggingface.co/datasets/BenjaminOcampo/ISHate), specifically
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+ the training part of the dataset which focuses on implicit hate speech.
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+
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+ # Evaluation Results
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+ The model's performance was evaluated using standard metrics, including F1 score
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+ and accuracy. For comprehensive evaluation results, refer to the linked paper.
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+
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+ Authors:
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+ - [Greta Damo](https://grexit-d.github.io/damo.greta.github.io/)
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+ - [Nicolás Benjamín Ocampo](https://www.nicolasbenjaminocampo.com/)
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+ - [Elena Cabrio](https://www-sop.inria.fr/members/Elena.Cabrio/)
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+ - [Serena Villata](https://webusers.i3s.unice.fr/~villata/Home.html)