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Distilbert Base Uncased Finetuned Imdb
This model is a text classification model fine-tuned on the IMDB movie review dataset based on DistilBERT, designed for sentiment analysis tasks.
Downloads 25
Release Time : 3/2/2022
Model Overview
This is a lightweight variant of the BERT model, fine-tuned on the IMDB dataset, specifically designed for sentiment classification tasks on movie reviews. The model maintains high accuracy while being more efficient than the standard BERT model.
Model Features
Lightweight and Efficient
Based on the DistilBERT architecture, it is 40% smaller and 60% faster than the standard BERT model while retaining 97% of its performance.
Specialized for Sentiment Analysis
Fine-tuned specifically on the IMDB movie review dataset, optimizing performance for sentiment classification.
Easy to Use
Provides standardized interfaces for easy integration into existing text processing workflows.
Model Capabilities
Text Classification
Sentiment Analysis
Movie Review Rating Prediction
Use Cases
Entertainment
Movie Review Sentiment Analysis
Automatically analyze the sentiment tendencies of user reviews on platforms like IMDB.
Validation loss 2.4718
Market Research
Product Review Analysis
Analyze the sentiment tendencies of user reviews for film and TV products.
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