This model is a fine-tuned version of roberta-large on the tner/tweetner7 dataset (trainall split). Model fine-tuning is done via T-NER's hyper-parameter search (see the repository for more detail). It achieves the following results on the test set of 2021: The per-entity breakdown of the F1 score on the test set are below: - creativework: 0.4760582928521859 For F1 scores, the confidence interval is obtained by bootstrap as below: Full evaluation can be found at metric file of NER and metric file of entity span. This model can be used through the tner library. Install the library via pip. TweetNER7 pre-processed tweets where the account name and URLs are converted into special formats (see…