Distilbert Base Uncased Finetuned Imdb
A text classification model fine-tuned on the IMDB dataset based on the distilbert-base-uncased model
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Release Time : 2/20/2025
Model Overview
This model is a lightweight version of DistilBERT, fine-tuned on the IMDB movie review dataset, suitable for sentiment analysis tasks.
Model Features
Lightweight Architecture
Based on the DistilBERT model, it is 40% smaller than the standard BERT model while retaining 95% of its performance
Sentiment Analysis Optimization
Specifically fine-tuned on the IMDB movie review dataset, ideal for sentiment classification tasks
Efficient Inference
Faster inference speed and lower resource consumption compared to the full BERT model
Model Capabilities
Text Classification
Sentiment Analysis
Natural Language Understanding
Use Cases
Content Analysis
Movie Review Sentiment Analysis
Analyze the sentiment tendency (positive/negative) of IMDB movie reviews
Validation loss of 2.4703
Social Media Monitoring
User Feedback Sentiment Classification
Perform sentiment classification on user comments from social media
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