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Update spaCy pipeline
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metadata
tags:
  - spacy
  - token-classification
language:
  - da
model-index:
  - name: da_multi_dupli_onto_xlm_roberta_large
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.7785234899
          - name: NER Recall
            type: recall
            value: 0.8226950355
          - name: NER F Score
            type: f_score
            value: 0.8
Feature Description
Name da_multi_dupli_onto_xlm_roberta_large
Version 0.0.0
spaCy >=3.5.0,<3.6.0
Default Pipeline transformer, ner
Components transformer, ner
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources n/a
License n/a
Author n/a

Label Scheme

View label scheme (16 labels for 1 components)
Component Labels
ner CARDINAL, DATE, EVENT, FACILITY, GPE, LAW, LOCATION, MONEY, NORP, ORDINAL, ORGANIZATION, PERSON, PRODUCT, QUANTITY, TIME, WORK OF ART

Accuracy

Type Score
ENTS_F 80.00
ENTS_P 77.85
ENTS_R 82.27
TRANSFORMER_LOSS 17711.38
NER_LOSS 289765.47