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Sembr2023 Bert Tiny

Developed by admko
A text classification model fine-tuned based on bert-tiny, demonstrating good precision and accuracy on the evaluation set
Downloads 51
Release Time : 11/27/2023

Model Overview

This model is a fine-tuned version of prajjwal1/bert-tiny, suitable for text classification tasks. Specific application scenarios need to be supplemented

Model Features

Efficient and Lightweight
Based on the bert-tiny architecture, the model is small in size and suitable for resource-constrained environments
Good Classification Performance
Achieves a precision of 0.7983 and an accuracy of 0.9531 on the evaluation set
Optimized Training
Trained using cosine decay learning rate scheduler and Adam optimizer

Model Capabilities

Text Classification
Short Text Processing

Use Cases

Text Analysis
Sentiment Analysis
Can be used for short text sentiment classification
Evaluation set F1 score 0.7202
Content Classification
Classify text content
Evaluation set accuracy 0.9531
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