Token Classification
Transformers
PyTorch
English
roberta
feature-extraction
Inference Endpoints
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+ ---
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+ datasets:
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+ - tner/bc5cdr
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+ - tner/bionlp2004
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+ - tner/btc
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+ - tner/conll2003
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+ - tner/fin
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+ - tner/mit_movie_trivia
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+ - tner/mit_restaurant
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+ - tner/multinerd
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+ - tner/ontonotes5
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+ - tner/tweebank_ner
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+ - tner/tweetner7
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+ - tner/wikineural
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+ - tner/wnut2017
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+ language:
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+ - en
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+ metrics:
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+ - accuracy
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+ - f1
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+ ---
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+ # RoBERTa Span Detection
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+ This model is a fine-tuned model of [roberta-large](https://huggingface.co/roberta-large) after being trained on a **mixture of NER datasets**.
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+
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+ Basically, this model has learn can detect NER spans (with <u>no differenciation on classes</u>). Labels use the IBO format and are:
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+ - 'B-TAG': beginning token of span
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+ - 'I-TAG': inside token of span
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+ - 'O': token not a span
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+
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+ # Evaluation results
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+
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+ | Data | Accuracy |
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+ |:---:|:---------:|
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+ | validation | 0.964 |