Phi-3.5-mini-instruct-Combined-Model

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This model is a finetuned Phi3.5-mini-instruct model trained on a dataset covering 4 domains, which are healthcare, telecommunications, banking and ecommerce. This model can answer almost all questions from the above mentioned domains.

Model Details

Model Description

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

• Developed by: Ankit Dutta
• Model type: Text-generation
• Language(s) (NLP): English
• License: MIT
• Finetuned from model [optional]: Phi3.5-mini-instruct-4k

Model Sources [optional]

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• Repository: [https://github.com/ankitdutta428/smart-chatbot]

Uses

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Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

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Training Details

Training Data

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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

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Evaluation

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Testing Data, Factors & Metrics

Testing Data

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Factors

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Results

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Summary

Model Examination [optional]

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Further Model Details

Further model details can be obtained from the paper Dutta et al. 2025 or by directly contacting the authors whose email address can be obtained from the paper.

Technical Specifications [optional]

Model Architecture and Objective

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Citation [optional]

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