Text Classification Model Based on BERT Fine-Tuning - Open Source and Free to Boost Efficient Text Classification Tasks

Name

Developed by ksmcg

A text classification model fine-tuned on the GLUE dataset based on the BERT base model

Downloads 15

Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version of bert-base-uncased on the GLUE dataset's MRPC task, primarily used for sentence pair classification tasks

BERT Architecture

Bidirectional Encoder Representations from Transformers, with powerful contextual understanding capabilities

GLUE Fine-tuning

Fine-tuned on the MRPC task of the GLUE benchmark, optimizing sentence pair classification performance

Efficient Training

Uses the Adam optimizer and linear learning rate scheduler to complete fine-tuning within 3 epochs

Sentence pair classification

Semantic similarity judgment

Text classification

Text Analysis

Semantic Similarity Detection

Determine if two sentences express the same meaning

Text Classification

Classify text content

Property	Details
Model Type	Fine - tuned version of bert - base - uncased
Training Data	glue dataset (args: mrpc)

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