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Xlm Roberta Large Indonesian NER Finetuned Ner
A fine-tuned model based on XLM-RoBERTa large model for Indonesian Named Entity Recognition task
Downloads 28
Release Time : 6/4/2022
Model Overview
This model is a fine-tuned version of the XLM-RoBERTa-large pre-trained model specifically for Indonesian Named Entity Recognition (NER) tasks, demonstrating excellent performance on evaluation datasets.
Model Features
High-precision Indonesian Entity Recognition
Achieves an F1 score of 93.24% on evaluation datasets, demonstrating outstanding performance
Based on XLM-RoBERTa Large Model
Leverages the powerful representation capabilities of multilingual pre-trained models
Lightweight Fine-tuning
Requires only 1 training epoch to achieve high performance
Model Capabilities
Indonesian text processing
Named Entity Recognition
Entity classification
Use Cases
Natural Language Processing
Indonesian Text Information Extraction
Identify and classify entities such as person names, locations, and organizations from Indonesian text
F1 score reaches 93.24%
Multilingual Application Integration
Serves as the Indonesian processing module in multilingual systems
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