FINE-TUNING MODEL BERT UNTUK NAMED ENTITY RECOGNITION

YANUAR, ACHMAD FARIZ RIZKY and Yusliani, Novi and Rodiah, Desty (2025) FINE-TUNING MODEL BERT UNTUK NAMED ENTITY RECOGNITION. Undergraduate thesis, Sriwijaya University.

[thumbnail of RAMA_55201_09021382126138_cover.jpg]
Preview
Image
RAMA_55201_09021382126138_cover.jpg - Cover Image
Available under License Creative Commons Public Domain Dedication.

Download (504kB) | Preview
[thumbnail of RAMA_55201_09021382126138.pdf] Text
RAMA_55201_09021382126138.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (4MB) | Request a copy
[thumbnail of RAMA_55201_09021382126138_TURNITIN.pdf] Text
RAMA_55201_09021382126138_TURNITIN.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (8MB) | Request a copy
[thumbnail of RAMA_55201_09021382126138_0008118205_0021128905_01_front_ref.pdf] Text
RAMA_55201_09021382126138_0008118205_0021128905_01_front_ref.pdf - Accepted Version
Available under License Creative Commons Public Domain Dedication.

Download (939kB)
[thumbnail of RAMA_55201_09021382126138_0008118205_0021128905_02.pdf] Text
RAMA_55201_09021382126138_0008118205_0021128905_02.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (549kB) | Request a copy
[thumbnail of RAMA_55201_09021382126138_0008118205_0021128905_03.pdf] Text
RAMA_55201_09021382126138_0008118205_0021128905_03.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (380kB) | Request a copy
[thumbnail of RAMA_55201_09021382126138_0008118205_0021128905_04.pdf] Text
RAMA_55201_09021382126138_0008118205_0021128905_04.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (698kB) | Request a copy
[thumbnail of RAMA_55201_09021382126138_0008118205_0021128905_05.pdf] Text
RAMA_55201_09021382126138_0008118205_0021128905_05.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (2MB) | Request a copy
[thumbnail of RAMA_55201_09021382126138_0008118205_0021128905_06_ref.pdf] Text
RAMA_55201_09021382126138_0008118205_0021128905_06_ref.pdf - Bibliography
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (191kB) | Request a copy
[thumbnail of RAMA_55201_09021382126138_0008118205_0021128905_07_lamp.pdf] Text
RAMA_55201_09021382126138_0008118205_0021128905_07_lamp.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (118kB) | Request a copy

Abstract

A sentence can contain various named entities with important meanings, such as names of people, locations, organizations, and time expressions. However, extracting this information manually requires significant time and resources. Named Entity Recognition (NER) offers an automated solution that improves the efficiency of this task. One method for developing an NER system is by using BERT, a transformer-based model that has proven effective in a wide range of natural language processing tasks. The BERT-base-cased model was fine-tuned using several hyperparameter configurations to identify the best combination based on the F1-score. The evaluation results showed that the best configuration was achieved with a learning rate of 5e-5, a batch size of 32, and 2 epochs, yielding an F1-score of 0.836765

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Named Entity Recognition, BERT, Fine-tuning, F1-Score, Natural Language Processing
Subjects: T Technology > T Technology (General) > T1-995 Technology (General)
Divisions: 09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Achmad Fariz Rizky Yanuar
Date Deposited: 04 Jun 2025 01:58
Last Modified: 04 Jun 2025 01:58
URI: http://repository.unsri.ac.id/id/eprint/175150

Actions (login required)

View Item View Item