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Machine learningDeep learning / NLP / CV

Uainishaji unaotegemea RoBERTa

Uainishaji unaotegemea RoBERTa hutumia modeli ya awali ya transformer ya RoBERTa — iliyofunzwa kwa nguvu zaidi kuliko BERT kwa kutumia mbinu ya kuficha kiholela (dynamic masking) na vikundi vikubwa zaidi — kwa kazi za kuainisha maandishi kwa kuongeza kichwa kidogo cha uainishaji juu ya uwakilishi wa tokeni ya [CLS] na kufinisha modeli nzima kwa mifano yenye lebo. Huendana au kuzidi kwa thabiti utendaji wa BERT kwenye vipimo sanifu vya lugha asilia (NLP).

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Vyanzo

  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 preprint 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. In Proceedings of NAACL-HLT 2019 (pp. 4171–4186). Association for Computational Linguistics. DOI: 10.18653/v1/N19-1423

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). RoBERTa-based Text Classification (Robustly Optimized BERT Pretraining Approach). ScholarGate. https://scholargate.app/sw/deep-learning/roberta-based-classification

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ScholarGateRoBERTa-based Classification (RoBERTa-based Text Classification (Robustly Optimized BERT Pretraining Approach)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/roberta-based-classification · Seti ya data: https://doi.org/10.5281/zenodo.20539026