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Open Roberta ist eine Entwicklung des Fraunhofer-Instituts für Intelligente Analyse- und Informationssysteme IAIS. Seit 2014 wird Open Roberta auf Servern des Fraunhofer IAIS in Sankt Augustin unter hohen Datenschutz-Maßnahmen gehostet und entwickelt.
RoBERTa has the same architecture as BERT, but uses a byte-level BPE as a tokenizer (same as GPT-2) and uses a different pretraining scheme. RoBERTa doesn’t have token_type_ids, you don’t need to indicate which token belongs to which segment.
Robertita Franco Oficial. 225,872 likes · 4,924 talking about this. Bienvenidos a mi nueva página, me borraron la anterior chicos.
26 de jul. de 2019 · We present a replication study of BERT pretraining (Devlin et al., 2019) that carefully measures the impact of many key hyperparameters and training data size. We find that BERT was significantly undertrained, and can match or exceed the performance of every model published after it.
- Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke...
- arXiv:1907.11692 [cs.CL]
- 2019
- Computation and Language (cs.CL)
29 de jul. de 2019 · Facebook AI’s RoBERTa is a new training recipe that improves on BERT, Google’s self-supervised method for pretraining natural language processing systems. By training longer, on more data, and dropping BERT’s next-sentence prediction RoBERTa topped the GLUE leaderboard.
