rahiqr/distilbert-amazon-sentiment

DistilBERT — Amazon Product Review Sentiment

distilbert-base-uncased fine-tuned on a subset of the amazon_polarity dataset for binary POSITIVE / NEGATIVE sentiment classification of product reviews.

Motivation: the common off-the-shelf sentiment model is trained on movie reviews (SST-2). This model adapts to the product-review domain.

Results (1,000 held-out product reviews)

Model	Accuracy	F1
Baseline (movie-trained, SST-2)	88.6%	0.888
This model (product reviews)	89.7%	0.899

Usage

from transformers import pipeline
clf = pipeline("sentiment-analysis", model="rahiqr/distilbert-amazon-sentiment")
clf("Arrived quickly and works perfectly!")

• Live demo: https://huggingface.co/spaces/rahiqr/review-intelligence
• Source & training code: https://github.com/rahiqraees/review-intelligence