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imdb-sentiment-roberta – AI Model by ceilf6 | AlphaNeural AI

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ceilf6/
imdb-sentiment-roberta

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sentiment-analysis

text-classification

textattack/roberta-base-imdb

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IMDB Sentiment RoBERTa

This repository contains a high-accuracy IMDB sentiment classifier for the 2026 machine learning course task.

The model is based on textattack/roberta-base-imdb, a RoBERTa sequence-classification model fine-tuned for IMDB sentiment analysis.

Evaluation

Dataset: imdb_top_500.csv
Accuracy: 98.40%
Correct: 492 / 500
Required minimum accuracy: 0.92
Labels: 0 = negative, 1 = positive

Usage

python

from transformers import pipeline

classifier = pipeline(
    "sentiment-analysis",
    model="ceilf6/imdb-sentiment-roberta",
    tokenizer="ceilf6/imdb-sentiment-roberta",
)
print(classifier("This movie is great and deeply moving."))

CI/CD

GitHub Actions evaluates the model and uploads this repository only when accuracy is at least 0.92.