BERT_Tweet_Sentiment_100_2epochs Open-Source Model - Accurately Analyze Tweet Sentiment, Free Deployment!

BERT Tweet Sentiment 100 2epochs

Developed by joe5campbell

BERT-base-uncased fine-tuned tweet sentiment analysis model, trained for 2 epochs

Downloads 14

Release Time : 3/2/2022

Model Overview

This model is a BERT-base-uncased fine-tuned tweet sentiment analysis model for analyzing the sentiment tendency of tweets.

BERT Architecture

Based on the powerful BERT pre-trained model with excellent text understanding capabilities

Lightweight Fine-tuning

Only fine-tuned for 2 epochs, suitable for rapid deployment

Sentiment Analysis

Specifically designed for analyzing sentiment tendencies in tweet content

Text Classification

Sentiment Analysis

Social Media Analysis

Tweet Sentiment Monitoring

Analyze the sentiment tendencies of user tweets on social media platforms like Twitter

Can identify positive, negative, or neutral sentiment in tweets

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.7045	0.4882	0.7236	0.2667	0
0.6279	0.6824	0.7791	0.2667	1

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