Presentation_emotion_31415 Open-source Text Sentiment Classification Model - Accurately Judge the Emotional Tendency of Texts

Presentation Emotion 31415

Developed by aXhyra

A text sentiment classification model fine-tuned on distilbert-base-uncased, trained on the tweet_eval dataset

Downloads 13

Release Time : 3/2/2022

Model Overview

This model is used for sentiment classification of tweets, capable of identifying emotional tendencies in text

Efficient and lightweight

Based on the DistilBERT architecture, reducing model size while maintaining performance

Sentiment analysis

Specifically optimized for tweet data, accurately identifying text emotions

Fine-tuning optimization

Fine-tuned for 4 epochs on the tweet_eval dataset

Text classification

Sentiment analysis

Social media text processing

Social media analysis

Tweet sentiment monitoring

Analyzing user sentiment tendencies on social media

F1 score reached 0.7149

Brand sentiment analysis

Monitoring user sentiment feedback on brand-related tweets

Property	Details
Model Type	Fine - tuned version of distilbert - base - uncased
Training Data	tweet_eval
Metrics	F1 (0.7149), Loss (1.1243)

Training Loss	Epoch	Step	Validation Loss	F1
0.73	1.0	408	0.8206	0.6491
0.3868	2.0	816	0.7733	0.7230
0.0639	3.0	1224	0.9962	0.7101
0.0507	4.0	1632	1.1243	0.7149

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