Machine learningDeep learning / NLP / CV

Klasifikacija zasnovana na finotreniranom RoBERTa modelu

Klasifikacija zasnovana na finotreniranom RoBERTa modelu prilagođava prethodno obučeni transformer RoBERTa — sam po sebi robustno dotreniranu varijantu BERT-a — specifičnom zadatku klasifikacije teksta dodavanjem klasifikacione glave i nastavkom obuke na označenim primerima. Dosledno postiže performanse na najvišem ili skoro najvišem nivou na zadacima analize sentimenta, klasifikacije tema, detekcije toksičnosti i sličnim NLP zadacima.

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Izvori

  1. Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., & Stoyanov, V. (2019). RoBERTa: A Robustly Optimized BERT Pretraining Approach. arXiv:1907.11692. link
  2. 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

Kako citirati ovu stranicu

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

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Citirana u

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