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README.md

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-Student Chat Toxicity Classifier
+'''Student Chat Toxicity Classifier
 This model is a fine-tuned version of the s-nlp/roberta_toxicity_classifier and is designed to classify text-based messages in student conversations as toxic or non-toxic. It is specifically tailored to detect and flag malpractice suggestions, unethical advice, or any toxic communication while encouraging ethical and positive interactions among students.
 
 Model Details
@@ -19,4 +19,9 @@ Truncation and padding applied for consistent input length (max_length=128).
 Framework: Hugging Face's transformers library.
 Optimizer: AdamW
 Loss Function: CrossEntropyLoss
-Epochs: 3 (adjusted for convergence)
+Epochs: 3 (adjusted for convergence)
+Intended Use
+This model is intended for educational platforms, chat moderation tools, and student communication apps. Its purpose is to:
+
+Detect toxic messages, such as cheating suggestions, harmful advice, or unethical recommendations.
+Promote a positive and respectful chat environment for students.