Question and MCQ Generation

Project Overview:

Our project automate the process of generating questions from text passages.Here, we have finetuned T5-small model for question generation. and used the same finetuned model for MCQ generation.

Acces our training notebooks and models

• Access our Colab notebook here.
• Acces our Question Generation Model on Hugging Face here
• Training notebook on Kaggle [End to End Generation] here

View our Demo:

Run

• Clone the repository : git clone git@github.com:Nadika18/Question_Generation.git
• Install the requirements : pip install -r requirements.txt
• Run python3 manage.py runserver in the terminal
• Open the browser and go to http://localhost:8000/
• Submit the question at /
• Get the generated question at /submit-question

System diagram for finetuning T5-small model for Question Generation

System diagram for MCQ generation workflow

Outputs:

1. Question Generation:

2. MCQ Generation:

Question Generation without Answers : End to End Generation

TrainingArguments

Parameter	Value
evaluation_strategy	epoch
learning_rate	2e-5
per_device_train_batch_size	8
per_device_eval_batch_size	8
num_train_epochs	3
weight_decay	0.01
save_strategy	epoch
disable_tqdm	False
gradient_accumulation_steps	2

Note : The batch size and acclumulation steps were decreased during training due to memory constraints.