README.md

---
language:
- am
metrics:
- accuracy
- f1
library_name: transformers
pipeline_tag: text-classification
tags:
- Sentiment-Analysis
- Hate-Speech
- Finetuning-mBERT
---



**<h1>Hate-Speech-Detection-in-Amharic-Language-mBERT</h1>**

This Hugging Face model card contains a machine learning model that uses fine-tuned mBERT to detect hate speech in Amharic language.
The model was fine-tuned using the Hugging Face Trainer API.

**<h1>Fine-Tuning</h1>**

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 http://Davlan/bert-base-multilingual-cased-finetuned-amharic which was provided by Davlan on Huggingface.

**<h1>Usage</h1>**

You can use the model through the Hugging Face Transformers library, either by directly loading the model in your Python code
 or by using the Hugging Face model hub.