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%
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