xlm roberta large finetuned conll03 english Table of Contents 1. Model Details 2. Uses 3. Bias, Risks, and Limitations 4. Training 5. Evaluation 6. Environmental Impact 7. Technical Specifications 8. Citation 9. Model Card Authors 10. How To Get Started With the Model Model Details Model Description 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. It is a large multi lingual language model, trained on 2.5TB of filtered CommonCrawl data. This model is XLM RoBERTa large fine tuned with the conll2003 dataset in English. Developed by: See associated paper Model type: Multi lingual language model Language(s) (NLP) or Countries (images): XLM RoBERTa is a multilingual model trained on 100 different languages; see GitHub Repo for full list; model is fine tuned on a dataset in English License: More information needed Related Models: RoBERTa, XLM Parent Model: XLM RoBERTa large Resources for more information: GitHub R…
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