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Phayathaibert Thainer
A Thai token classification model fine-tuned based on phayathaibert, demonstrating outstanding performance on the THAI-NER dataset
Downloads 329
Release Time : 12/4/2023
Model Overview
This model is a BERT variant optimized for Thai named entity recognition tasks, fine-tuned on the THAI-NER corpus, and possesses excellent entity recognition capabilities
Model Features
High-Accuracy Thai Entity Recognition
Achieves an F1 score of 0.8666 and accuracy of 97.35% on the THAI-NER dataset
Domain-Specific Optimization
Specially optimized for the linguistic characteristics of Thai
Efficient Training
Uses mixed-precision training techniques to enhance training efficiency
Model Capabilities
Thai text entity recognition
Named entity classification
Sequence labeling
Use Cases
Natural Language Processing
Thai Text Entity Extraction
Identify entities such as person names and locations from Thai news or documents
High-precision recognition with F1 score of 0.8666
Information Extraction System
Serves as the core component of a Thai information extraction system
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