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Distilbert Base Uncased Finetuned Imdb
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Distilbert Base Uncased Finetuned Imdb

Developed by harshhmaniya
A text classification model fine-tuned on the IMDB dataset based on the distilbert-base-uncased model
Large Language Model
Transformers
Open Source License:Apache-2.0#Text Sentiment Analysis#Lightweight BERT#IMDB Fine-tuning
Downloads 43
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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