alishbalaeeq/question_generation_mistral

Model Card for Fine-tuned Mistral-7B for Question Classification

Model Details

Model Description

This model is a fine-tuned version of the Mistral-7B model, specifically designed for question classification tasks. It takes a question as input and classifies it as either "useful" or "not useful".

• Developed by: Alishba Laeeq
• Model type: Question Classification Model
• Language(s) (NLP): Python
• Finetuned from model: Mistral-7B (Instruct-v0.2)

Uses

Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model.

Direct Use

This model can be used directly for question classification tasks, such as filtering out irrelevant questions or identifying useful questions for further processing.

Downstream Use

This model can be fine-tuned for specific question classification tasks, such as classifying questions into different categories or identifying the intent behind a question.

Out-of-Scope Use

This model is not intended for use in tasks that require a deep understanding of the question's context or nuances, such as open-ended question answering or conversation.

• PEFT 0.7.1