Machine learningDeep learning / NLP / CV

Fino-podešena klasifikacija zasnovana na BERT-u

Fino-podešena klasifikacija zasnovana na BERT-u prilagođava prethodno obučeni BERT transformer za specifičan zadatak klasifikacije teksta dodavanjem laganog izlaznog sloja i nastavljanjem obuke zasnovane na gradijentu na označenim primerima. Dosledno postiže skoro najsavremeniju tačnost u analizi sentimenta, kategorizaciji tema, detekciji namera i drugim NLP zadacima klasifikacije sa relativno malim označenim skupovima podataka.

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Izvori

  1. Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. Proceedings of NAACL-HLT 2019, 4171–4186. DOI: 10.18653/v1/N19-1423
  2. Sun, C., Qiu, X., Xu, Y., & Huang, X. (2019). How to Fine-Tune BERT for Text Classification? Proceedings of CCL 2019, LNCS 11856, 194–206. DOI: 10.1007/978-3-030-32381-3_16

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Fine-Tuned BERT-based Text Classification. ScholarGate. https://scholargate.app/sr/deep-learning/fine-tuned-bert-based-classification

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Citirana u

ScholarGateFine-Tuned BERT-based Classification (Fine-Tuned BERT-based Text Classification). Preuzeto 2026-06-15 sa https://scholargate.app/sr/deep-learning/fine-tuned-bert-based-classification · Skup podataka: https://doi.org/10.5281/zenodo.20539026