|
|
--- |
|
|
language: en |
|
|
license: mit |
|
|
tags: |
|
|
- rubric-generation |
|
|
- education |
|
|
- fine-tuned |
|
|
- text-generation |
|
|
- gpt |
|
|
datasets: |
|
|
- custom |
|
|
widget: |
|
|
- text: >- |
|
|
Question: What are the benefits of regular exercise? |
|
|
|
|
|
Sample Answer: Regular exercise helps in weight management, improves |
|
|
cardiovascular health, and enhances mental well-being. |
|
|
|
|
|
Total Marks: 5 |
|
|
base_model: |
|
|
- meta-llama/Llama-2-7b-chat-hf |
|
|
--- |
|
|
|
|
|
# 📝 Rubric Generator Model |
|
|
|
|
|
This model is fine-tuned to **generate detailed grading rubrics** when provided with: |
|
|
|
|
|
- a **question or prompt** |
|
|
- a **sample answer** |
|
|
- the **maximum marks** for the question |
|
|
|
|
|
It is designed for educators, examiners, and educational apps that require structured, point-wise rubrics for evaluating subjective answers. |
|
|
|
|
|
--- |
|
|
|
|
|
## 📌 Model Details |
|
|
|
|
|
- **Architecture**: Causal language model (e.g., GPT-style) |
|
|
- **Training Format**: Supervised fine-tuning on question-answer-mark-rubric datasets |
|
|
- **Input Format**: |
|
|
```plaintext |
|
|
Question: <your-question> |
|
|
Sample Answer: <your-answer> |
|
|
Total Marks: <max-marks> |
|
|
```` |
|
|
|
|
|
* **Output**: A rubric in JSON format assigning marks to specific answer criteria |
|
|
|
|
|
--- |
|
|
|
|
|
## 🚀 Example |
|
|
|
|
|
**Input:** |
|
|
|
|
|
``` |
|
|
Question: What are the advantages of using solar energy? |
|
|
Sample Answer: Solar energy is renewable and reduces electricity bills. It's environmentally friendly and reduces reliance on fossil fuels. |
|
|
Total Marks: 5 |
|
|
``` |
|
|
|
|
|
**Output:** |
|
|
|
|
|
```json |
|
|
{ |
|
|
"rubric": [ |
|
|
{ "criteria": "Mentions that solar energy is renewable", "max_marks": 1 }, |
|
|
{ "criteria": "Discusses cost-saving or reduction in electricity bills", "max_marks": 1 }, |
|
|
{ "criteria": "Highlights environmental friendliness", "max_marks": 1 }, |
|
|
{ "criteria": "Mentions reduced reliance on fossil fuels", "max_marks": 1 }, |
|
|
{ "criteria": "Answer clarity and overall relevance", "max_marks": 1 } |
|
|
] |
|
|
} |
|
|
``` |
|
|
|
|
|
--- |
|
|
|
|
|
## 📚 Training Data |
|
|
|
|
|
The model was fine-tuned on a dataset of: |
|
|
|
|
|
* Questions |
|
|
* Sample answers |
|
|
* Total marks |
|
|
* Expert-designed rubrics in structured JSON format |
|
|
|
|
|
This dataset is included in the accompanying [GitHub repository](https://github.com/yourusername/rubric-generator). |
|
|
|
|
|
--- |
|
|
|
|
|
## 🧠 Intended Use |
|
|
|
|
|
* Automated rubric generation for educational platforms |
|
|
* Consistent scoring guidelines for subjective assessments |
|
|
* Feedback generation tools for students and teachers |
|
|
|
|
|
--- |
|
|
|
|
|
## ⚠️ Limitations |
|
|
|
|
|
* May not be optimized for highly domain-specific or creative writing assessments |
|
|
* Requires sample answers to be reasonably well-formed to generate useful rubrics |
|
|
* Rubric quality depends on clarity of the question and sample answer |
|
|
|
|
|
--- |
|
|
|
|
|
## 📄 License |
|
|
|
|
|
This model is licensed under the [MIT License](LICENSE). |
|
|
|
|
|
--- |
|
|
|
|
|
**Author**: Mrigank Singh |
|
|
**Contact**: mriganksingh005@gmail.com |
|
|
**Repository**: [GitHub - rubric-generator](https://github.com/Mrigank005/Rubric_Generator) |
|
|
|
|
|
``` |
