POS Tagging Model (English)
Fine-tuned BERT for Part-of-Speech Tagging
Description
This model is a fine-tuned version of bert-base-uncased for Part-of-Speech (POS) Tagging on the CONLL2003 dataset. It was developed as part of an academic project for the course "Natural Language Processing" at IIMAS, UNAM.
Key Details
Purpose: Academic project for NLP coursework.
Base Model: bert-base-uncased
Dataset: CONLL2003 (English)
Metrics:
F1 Score: 92.6%
Precision: 92.6%
Recall: 92.5%
