Update README.md

README.md

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 - Sentiment-Analysis
 - Hate-Speech
 - Finetuning-mBERT
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+---
+
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+**<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>Dataset</h1>**
+
+The model was fine-tuned on an Amharic Dataset that was made available by Mendeley Data (https://data.mendeley.com/datasets/ymtmxx385m).
+The dataset contains 30,000 rows of Amharic text labeled as hate speech or not hate speech.
+
+**<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.
+
+