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Open Roberta es un proyecto dentro de la iniciativa educativa alemana "Roberta: aprender con robots", iniciado por Fraunhofer IAIS, que es un instituto perteneciente a la Sociedad Fraunhofer . Con Open, Roberta, Fraunhofer IAIS busca alentar a los niños a codificar mediante el uso de robots como Lego Mindstorms y otros sistemas de hardware ...
3 de sept. de 2019 · This paper shows that the original BERT model, if trained correctly, can outperform all of the improvements that have been proposed lately, raising questions...
- 19 min
- 24.4K
- Yannic Kilcher
Model description. RoBERTa is a transformers model pretrained on a large corpus of English data in a self-supervised fashion. This means it was pretrained on the raw texts only, with no humans labelling them in any way (which is why it can use lots of publicly available data) with an automatic process to generate inputs and labels from those ...
The RoBERTa model was proposed in RoBERTa: A Robustly Optimized BERT Pretraining Approach by Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov. It is based on Google’s BERT model released in 2018. It builds on BERT and modifies key hyperparameters, removing the ...
Overview. The XLM-RoBERTa model was proposed in Unsupervised Cross-lingual Representation Learning at Scale by Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer and Veselin Stoyanov. It is based on Facebook’s RoBERTa model released in 2019.
Kern des Projekts »Open Roberta« ist die frei verfügbare, cloudbasierte grafische Programmierumgebung »Open Roberta Lab«, die das Programmierenlernen leicht macht – von den ersten Schritten bis hin zur Programmierung intelligenter Roboter mit vielerlei Sensoren und Fähigkeiten.
RoBERTa is an extension of BERT with changes to the pretraining procedure. The modifications include: training the model longer, with bigger batches, over more data removing the next sentence prediction objective training on longer sequences dynamically changing the masking pattern applied to the training data. The authors also collect a large new dataset ($\\text{CC-News}$) of comparable size ...
