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Student Chat Toxicity Classifier
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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.
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Model Details
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Framework: Hugging Face's transformers library.
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Optimizer: AdamW
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Loss Function: CrossEntropyLoss
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Epochs: 3 (adjusted for convergence)
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'''Student Chat Toxicity Classifier
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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.
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Model Details
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Framework: Hugging Face's transformers library.
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Optimizer: AdamW
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Loss Function: CrossEntropyLoss
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Epochs: 3 (adjusted for convergence)
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Intended Use
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This model is intended for educational platforms, chat moderation tools, and student communication apps. Its purpose is to:
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Detect toxic messages, such as cheating suggestions, harmful advice, or unethical recommendations.
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Promote a positive and respectful chat environment for students.
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