severinsimmler/literary-german-bert

German BERT is based on bert-base-german-dbmdz-cased, and has been adapted to the domain of literary texts . Corpus of German-Language Fiction consists of 3,194 documents with 203,516,988 tokens or 1,520,855 types . The publication year of the texts ranges from the 18th to the 20th century: . The model has also been evaluated using 10-fold cross validation and compared with a classic Conditional Random Field baseline described in Jannidis et al. (2015): . The provided model was also fine-tuned for two epochs on 10,799 sentences for training, validated on 547 and tested,