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jiazhengli/
deberta-large-asap_5

Name: deberta-large-asap_5
Availability: InStock

pytorch

deberta-v2

text-classification

microsoft/deberta-v3-large

finetune

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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 5.

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 5
Number of Classes: 4 (score levels)

Dataset

This model was trained on the ASAP (Automated Student Assessment Prize) dataset, specifically Question 5. 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 5 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 5

License

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

jiazhengli/deberta-large-asap_5