tner/roberta-large-tweetner7-all
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: - F1 (micro): 0.6574551220340903 - Precision (micro): 0.644212629008989 - Recall (micro): 0.6712534690101758 - F1 (macro): 0.6124665667529737
pip install mlforge-sdk && mlforge pull tner/roberta-large-tweetner7-all
Model details
About tner/roberta-large-tweetner7-all
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: - F1 (micro): 0.6574551220340903 - Precision (micro): 0.644212629008989 - Recall (micro): 0.6712534690101758 - F1 (macro): 0.6124665667529737 - Precision (macro): 0.6005167968535563 - Recall (macro): 0.625251837701222