metadata
datasets:
- tner/bc5cdr
- tner/bionlp2004
- tner/btc
- tner/conll2003
- tner/fin
- tner/mit_movie_trivia
- tner/mit_restaurant
- tner/multinerd
- tner/ontonotes5
- tner/tweebank_ner
- tner/tweetner7
- tner/wikineural
- tner/wnut2017
language:
- en
metrics:
- accuracy
- f1
RoBERTa Span Detection
This model is a fine-tuned model of roberta-large after being trained on a mixture of NER datasets.
Basically, this model has learn can detect NER spans (with no differenciation on classes). Labels use the IBO format and are:
- 'B-TAG': beginning token of span
- 'I-TAG': inside token of span
- 'O': token not a span
Data used for training
- tner/bc5cdr
- tner/bionlp2004
- tner/btc
- tner/conll2003
- tner/fin
- tner/mit_movie_trivia
- tner/mit_restaurant
- tner/multinerd
- tner/ontonotes5
- tner/tweebank_ner
- tner/tweetner7
- tner/wikineural
- tner/wnut2017
Evaluation results
Data | Accuracy |
---|---|
validation | 0.964 |