flan-t5-base-pt2 — Essay Trait Scorer
This model is a fine-tuned version of google/flan-t5-base designed for trait-based essay scoring. It was trained on Sets 7 & 8 of the ASAP AES dataset, extended with floating-point scoring and GPT validation.
Each input includes:
- a trait (e.g., Ideas, Organization),
- the relevant rubric definition,
- and the student's essay.
The model outputs a trait-specific score between 0.0 and 3.0, which can be scaled to a final grade out of 100.
🧠 Scoring is optionally cross-validated with OpenAI’s GPT for more reliable results.
Usage
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("srutiii/flan-t5-base-pt2")
model = AutoModelForSeq2SeqLM.from_pretrained("srutiii/flan-t5-base-pt2")
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