de_wikiner_dist / README.md
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metadata
tags:
  - spacy
  - token-classification
language:
  - de
model-index:
  - name: de_wikiner_dist
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.887207521
          - name: NER Recall
            type: recall
            value: 0.8777081175
          - name: NER F Score
            type: f_score
            value: 0.8824322547
Feature Description
Name de_wikiner_dist
Version 1.0.0
spaCy >=3.8.7,<3.9.0
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 (4 labels for 1 components)
Component Labels
ner LOC, MISC, ORG, PER

Accuracy

Type Score
ENTS_F 88.24
ENTS_P 88.72
ENTS_R 87.77
TRANSFORMER_LOSS 17774.59
NER_LOSS 82859.91