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Download README.md from soham-zero/Smart-MCQ-Solver: direct link, hf CLI and curl.
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https://huggingface.co/spaces/soham-zero/Smart-MCQ-Solver/resolve/main/README.md
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hf download hf://spaces/soham-zero/Smart-MCQ-Solver/README.md
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curl -L -o README.md https://huggingface.co/spaces/soham-zero/Smart-MCQ-Solver/resolve/main/README.md
996 Bytes
A newer version of the Gradio SDK is available: 6.30.0
metadata
title: Smart MCQ Solver
emoji: 🔥
colorFrom: red
colorTo: gray
sdk: gradio
sdk_version: 6.22.0
python_version: '3.12'
app_file: app.py
pinned: false
Smart MCQ Solver
A fine-tuned DeBERTa-v3-small model that ranks the top-3 most likely answers for multiple-choice questions.
How It Works
- Enter a question prompt and five answer options (A–E).
- The model tokenizes each (prompt, option) pair and runs a forward pass.
- It returns a ranked list of the top-3 most likely answer letters.
Model Details
| Property | Value |
|---|---|
| Base Model | microsoft/deberta-v3-small |
| Task | Multiple Choice QA |
| Fine-Tuned On | IITM DL & GenAI Kaggle Competition Dataset |
| Kaggle MAP@3 | 0.75353 |
| Training Epochs | 5 |
| Optimizer | AdamW (lr=1e-5) |
Project
This is the deployment component of the IITM Deep Learning & Generative AI project.
- 🔗 Main Project Repo: dl-genai-project-26-t2