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taha-finetuned-final
RoshaanT1/taha-finetuned-final
taha-finetuned-final is a machine learning model from RoshaanT1. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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.
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At a glance
- Model type
- roberta
- Access
- Public
- Created
- Aug 5, 2026
- Updated
- Aug 7, 2026
- SHA
- a5fe46a0
Model card
From the Hugging Face model README
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: NegativeLABEL_1: NeutralLABEL_2: Positive
Usage via Transformers
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)
- Type
- roberta
- Created
- Aug 5, 2026
- Updated
- Aug 7, 2026