---
language:
- en
base_model:
- microsoft/deberta-v3-large
pipeline_tag: text-classification
---
# DeBERTa-Large ASAP Essay Scoring Model

This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) for automated essay scoring on the ASAP (Automated Student Assessment Prize) dataset, specifically trained on **Question 1**.

## Model Description

- **Model Type**: Sequence Classification
- **Architecture**: DeBERTa-v3-Large (24 layers, 1024 hidden size, 16 attention heads)
- **Task**: Automated Essay Scoring
- **Language**: English
- **Dataset**: ASAP Question 1
- **Number of Classes**: 4 (score levels)

## Dataset

This model was trained on the ASAP (Automated Student Assessment Prize) dataset, specifically Question 1. The ASAP dataset contains student essays with human-scored ratings.

- **Dataset Source**: [ASAP-SAS Kaggle Competition](https://www.kaggle.com/c/asap-sas/overview)
- **Task**: Score student essays on a predefined rubric
- **Question 1 Prompt**: The dataset contains essays written in response to specific prompts, with scores assigned by human raters

## Training Details

- **Base Model**: microsoft/deberta-v3-large
- **Training Data**: ASAP dataset Question 1

## License

Please refer to the original DeBERTa-v3-large model license and the ASAP dataset terms of use.