Fami2040/Hate-Speech-Detection-in-Amharic-Language

# Hate-Speech-Detection-in-Amharic-Language This repository contains the code and resources for a machine learning project that uses fine-tuned mBERT to detect hate speech in Amharic language. The model was fine-tuned using the Hugging Face Trainer API. # Dataset The finetuning was done on an Amharic Dataset that was made available by Mendeley Data (Amharic Facebook Dataset fo…). The dataset contains 30,000 rows of Amharic text labeled as hate speech or not hate speech. # Fine-Tuning This model was created by finetuning the mBERT model for the downstream task of Hate speech detection for the Amharic language. The initial mBERT model used for finetuning is Davlan/bert-base-multilingual-cased-finetuned-amharic which was provided by Davlan on Huggingface. The model was fine-tuned using HuggingFace's Trainer API. # Results Since the model is currently under training, the results will be updated as soon as the training is complete. # Contributing Contributions to this project are welcome! If you find any bugs or have ideas for new features, please open an issue or submit a pull request.