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Bert Imdb

Developed by lvwerra
A sentiment classification model trained based on the bert-large-cased architecture for analyzing sentiment tendencies in IMDB movie reviews.
Text Classification#Movie Review Sentiment Analysis#bert-large-cased Architecture#90% Validation Accuracy
Downloads 52
Release Time : 3/2/2022

Model Overview

This model is based on the BERT architecture and specifically trained on the IMDB movie review dataset to determine the sentiment tendency (positive/negative) of movie reviews.

Model Features

High Accuracy
Achieves 90% classification accuracy on the validation set.
BERT-based Architecture
Fine-tuned using the bert-large-cased pre-trained model.
Learning Rate Scheduling
Adopts a dynamic learning rate scheduling strategy with an initial learning rate of 1e-5.

Model Capabilities

Text Sentiment Classification
Movie Review Analysis

Use Cases

Film Review Analysis
Movie Review Sentiment Classification
Automatically determines the sentiment tendency (positive/negative) of IMDB movie reviews.
90% accuracy on the validation set.
Market Research
Audience Feedback Analysis for Films
Analyzes audience sentiment tendencies toward films.
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