imdb-sentiment-classifier – AI Model by Camilla9000 | AlphaNeural AI

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Camilla9000/
imdb-sentiment-classifier

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text-classification

sentiment-analysis

autotrain_compatible

endpoints_compatible

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🎬 IMDb Sentiment Classifier

This is a fine-tuned DistilBERT model for analyzing sentiment in IMDb movie reviews.

📌 Dataset

Source: IMDb dataset from Hugging Face Datasets
Task: Binary classification (Positive / Negative)

📌 Training Details

Model: distilbert-base-uncased
Learning rate: 2e-5
Batch size: 4
Epochs: 1
Loss function: CrossEntropyLoss

📌 Evaluation Results

Metric	Score
Accuracy	92.5%
F1-score	92.6%
Precision	92.9%
Recall	92.3%

📌 How to Use

python

from transformers import pipeline

classifier = pipeline("text-classification", model="Camilla9000/imdb-sentiment-classifier")
print(classifier("This movie was amazing!"))