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deberta-large-asap_1
jiazhengli/deberta-large-asap_1
deberta-large-asap_1 is a text classification model from jiazhengli. Use it when you need a label for a piece of text.
This model is a fine-tuned version of microsoft/deberta-v3-large for automated essay scoring on the ASAP (Automated Student Assessment Prize) dataset, specifically trained on Question 1.
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At a glance
- Task
- Text Classification
- Model type
- deberta-v2
- Access
- Public
- Created
- Jul 20, 2025
- Updated
- Jul 20, 2025
- SHA
- f96763b9
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Base models
Model card
From the Hugging Face model README
DeBERTa-Large ASAP Essay Scoring Model
This model is a fine-tuned version of 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
- 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.
- Task
- Text Classification
- Type
- deberta-v2
- Languages
- en
- Created
- Jul 20, 2025
- Updated
- Jul 20, 2025