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Bert Base Klue Mrc Finetuned

Developed by jihoonkimharu
This is a model fine-tuned for the MRC task on KLUE, primarily used for Korean machine reading comprehension tasks.
Downloads 15
Release Time : 12/7/2022

Model Overview

This model is based on the BERT architecture and fine-tuned for the Machine Reading Comprehension (MRC) task on the KLUE dataset, suitable for Korean text processing.

Model Features

Optimized for Korean MRC Tasks
Specially fine-tuned for Korean machine reading comprehension tasks, demonstrating good performance on the KLUE dataset.
Based on BERT Architecture
Utilizes the BERT pre-trained language model architecture, providing strong text comprehension capabilities.

Model Capabilities

Korean Text Understanding
Machine Reading Comprehension
Question Answering

Use Cases

Education
Korean Reading Comprehension Exercises
Used to create Korean reading comprehension exercises and tests
Can automatically assess students' understanding of Korean texts
Research
Korean NLP Research
Used for Korean natural language processing-related research
Can serve as a benchmark model or comparison reference
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