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.
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