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Distilbert Base Uncased Finetuned Imdb

Developed by huggingface-course
This model is a fine-tuned version of the DistilBERT base model on the IMDB movie review dataset for sentiment analysis tasks.
Downloads 163
Release Time : 3/2/2022

Model Overview

This is a DistilBERT model fine-tuned on the IMDB dataset, primarily used for text sentiment analysis tasks. DistilBERT is a lightweight version of BERT that retains most of its performance while being more computationally efficient.

Model Features

Lightweight and Efficient
Based on the DistilBERT architecture, it is more lightweight and computationally efficient than the standard BERT model.
Sentiment Analysis
Fine-tuned specifically for IMDB movie review data, excelling at analyzing text sentiment tendencies.
Fast Training
Due to the model's lightweight nature, both training and inference speeds are faster.

Model Capabilities

Text Classification
Sentiment Analysis
Natural Language Processing

Use Cases

Movie Review Analysis
Movie Review Sentiment Analysis
Analyze the sentiment tendency (positive/negative) of IMDB movie reviews.
Validation loss of 2.4264 on the test set.
Social Media Analysis
User Feedback Sentiment Classification
Perform sentiment classification on user feedback from social media.
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