BERT-base-finetuned-NLI Open-source Text Classification Model - Free Deployment to Support Natural Language Inference Tasks

Bert Base Finetuned Nli

Developed by Jihyun22

A text classification model fine-tuned on the klue dataset based on klue/bert-base, primarily used for natural language inference tasks

Text Classification

Transformers

#Korean Natural Language Inference #BERT Fine-tuning #Text Relation Classification

Downloads 16

Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version based on the klue/bert-base architecture, specifically designed for Natural Language Inference (NLI) tasks, capable of determining the logical relationship between two sentences

Model Features

Korean Natural Language Understanding

Natural language inference capability optimized specifically for Korean text

BERT-base Fine-tuning

Task-specific fine-tuning based on the powerful BERT-base architecture

Medium Scale

A balanced model with approximately 110 million parameters, suitable for most inference tasks

Model Capabilities

Text Classification

Natural Language Inference

Sentence Relation Judgment

Use Cases

Text Analysis

Semantic Relation Judgment

Determine whether the relationship between two sentences is entailment, contradiction, or neutral

Achieved 75.6% accuracy on the KLUE dataset

Question Answering System Support

Provide judgment capability for answer-question relevance in QA systems

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	196	0.7357	0.156
No log	2.0	392	0.5952	0.0993
0.543	3.0	588	0.5630	0.099
0.543	4.0	784	0.5670	0.079
0.543	5.0	980	0.5795	0.078

Property	Details
Tags	generated_from_trainer
Datasets	klue
Metrics	accuracy
Model Name	bert - base - finetuned - nli
Task	Text Classification (text - classification)
Dataset Name	klue (klue, args: nli)
Metric Name	Accuracy (accuracy, value: 0.756)

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Bert Base Finetuned Nli

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