Update README.md

README.md

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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Monitoring Harmful Text in Online Platforms
+
+## Overview
+This repository hosts the RandomForest classifier model designed for detecting harmful text AGAINST GROUPS. 
+The model classifies text into one of three categories: "Offensive or Hateful", "Neutral or Ambiguous", and "Not Hate". 
+Achieving an accuracy of 92.5%, this model was developed through the combination of three distinct datasets, ensuring robustness and reliability in varied contexts. 
+It was presented at the prestigious annual Gulf Coast Conference & Expo on AI.
+
+Model Details
+Model Type: RandomForest Classifier
+Accuracy: 92.5%
+Labels:
+0: Neutral or Ambiguous
+1: Not Hate
+2: Offensive or Hateful
+Training Data: Augmented version of [this dataset](TLeonidas/twitter-hate-speech-en-240ksamples) (279k+ rows)
+