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Distilbert Base Uncased Finetuned Imdb
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Distilbert Base Uncased Finetuned Imdb

Developed by salihkavaf
This model is a fine-tuned version of the DistilBERT base model on the IMDB dataset, primarily used for text sentiment analysis tasks.
Large Language Model
Transformers
Open Source License:Apache-2.0#Text Sentiment Analysis#IMDB Review Classification#Distilled BERT Fine-tuning
Downloads 67
Release Time : 4/22/2022

Model Overview

This is a fine-tuned DistilBERT model suitable for text classification tasks, especially sentiment analysis. The model has been optimized based on the IMDB dataset and can identify sentiment tendencies in text.

Model Features

Lightweight BERT Variant
Based on the DistilBERT architecture, it significantly reduces model size while retaining most of BERT's performance.
Sentiment Analysis Optimization
Specifically fine-tuned for the IMDB movie review dataset, making it ideal for sentiment analysis 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

Sentiment Analysis
Movie Review Sentiment Analysis
Analyze sentiment tendencies (positive/negative) in IMDB movie reviews
Product Review Classification
Perform sentiment classification on product reviews from e-commerce platforms
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