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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# neural-chat-finetuned-bilic-v1
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## Model description
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## Intended uses & limitations
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## Training
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## Training procedure
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### Training hyperparameters
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- training_steps: 250
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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results: []
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# neural-chat-finetuned-bilic-v1
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## Model description
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This is a fine tuned version of the intel's Neuralchat model, specifically trained on a carefully curated dataset on fraud detection. We implemented a contextual based architecture to enable the model learn and be adept at understanding context within a conversation as opposed to the traditional rule based approach.
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## Intended uses & limitations
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- detecting fraudulent conversations in real-time
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- Giving a summary of conversations and suggestions
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- Understanding with high accuracy the context in a conversation to make better predictions
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## Training
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50,000 synthetically conversations
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### Training hyperparameters
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- training_steps: 250
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- mixed_precision_training: Native AMP
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### Framework versions
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