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