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Extra Fine Tuned Distilbert Imdb
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Extra Fine Tuned Distilbert Imdb
Developed by Maciohinda
This model is a text classification model optimized based on the DistilBert architecture, specifically designed for classifying IMDB movie reviews as positive or negative sentiment.
Downloads 30
Release Time : 2/15/2025
Model Overview
A fine-tuned MLM DistilBert model for natural language processing tasks, capable of accurately classifying the sentiment tendency of movie reviews.
Model Features
Efficient training
Achieves high accuracy with only 5 epochs of training on the full IMDB dataset.
High accuracy
Achieves 92.7% classification accuracy on the IMDB dataset.
Lightweight
Based on the DistilBert architecture, it is more lightweight and efficient compared to the original Bert model.
Model Capabilities
Text classification
Sentiment analysis
Use Cases
Film review analysis
Movie review sentiment classification
Automatically determines whether a user's review of a movie is positive or negative.
92.7% accuracy
Market research
Product review analysis
Analyzes the sentiment tendency of user reviews for products.
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