de_RTA_NER / README.md
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metadata
tags:
  - spacy
  - token-classification
language:
  - de
license: cc-by-nc-4.0
model-index:
  - name: de_RTA_NER
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.8630136986
          - name: NER Recall
            type: recall
            value: 0.8743253662
          - name: NER F Score
            type: f_score
            value: 0.8686327078

Regensburger Reichstag von 1576

Feature Description
Name de_RTA_NER
Version 0.0.0
spaCy >=3.1.0,<3.2.0
Default Pipeline tok2vec, ner
Components tok2vec, ner
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources n/a
License https://creativecommons.org/licenses/by-nc/4.0/
Author n/a

Label Scheme

View label scheme (4 labels for 1 components)
Component Labels
ner DATE, LOC, PER, TIME

Accuracy

Type Score
ENTS_F 86.86
ENTS_P 86.30
ENTS_R 87.43
TOK2VEC_LOSS 43588.74
NER_LOSS 95573.96