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RoshaanT1/
taha-finetuned-final

Name: taha-finetuned-final
Rating: 2.5 (52 reviews)

safetensors

roberta

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Student Feedback Sentiment Analysis (Fine-Tuned)

This model is fine-tuned on top of the Taha base model (roberta architecture) using professional university student feedback. It accurately classifies educational feedback into Positive, Neutral, and Negative sentiments.

Model Information

Base Model: Taha model (roberta)
Task: Text Classification / Sentiment Analysis
Domain: Higher education, course evaluations, and student feedback

Label Mapping (Verify ID alignment in your model's config.json)

LABEL_0: Negative
LABEL_1: Neutral
LABEL_2: Positive

Usage via Transformers

python

from transformers import pipeline

classifier = pipeline("text-classification", model="RoshaanT1/taha-finetuned-final")
result = classifier("The professor covered advanced topics well, but assignments were long.")
print(result)