AI NEWS.ccGottBERT_base_last
GottBERT is the first German-only RoBERTa model, pre-trained on the German portion of the first released OSCAR dataset. This model aims to provide enhanced natural language processing (NLP) performance for the German language across various tasks, including Named Entity Recognition (NER), text classification, and natural language inference (NLI). GottBERT has been developed in two versions: a **base model** and a **large model**, tailored specifically for German-language tasks. GottBERT was evaluated across various downstream tasks: - **NER**: CoNLL 2003, GermEval 2014 - **Text Classification**: GermEval 2018 (coarse & fine), 10kGNAD - **NLI**: German subset of XNLI Details: - **bold** values indicate the best performing model within one architecure (base, large), undescored values the second best.
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GottBERT is the first German-only RoBERTa model, pre-trained on the German portion of the first released OSCAR dataset. This model aims to provide enhanced natural language processing (NLP) performance for the German language across various tasks, including Named Entity Recognition (NER), text classification, and natural language inference (NLI). GottBERT has been developed in two versions: a **base model** and a **large model**, tailored specifically for German-language tasks. GottBERT was evaluated across various downstream tasks: - **NER**: CoNLL 2003, GermEval 2014 - **Text Classification**: GermEval 2018 (coarse & fine), 10kGNAD - **NLI**: German subset of XNLI Details: - **bold** values indicate the best performing model within one architecure (base, large), undescored values the second best.