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metadata
tags:
  - spacy
  - token-classification
language:
  - en
model-index:
  - name: en_scibert_ScienceIE
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.9891304348
          - name: NER Recall
            type: recall
            value: 0.9923664122
          - name: NER F Score
            type: f_score
            value: 0.9907457812
Feature Description
Name en_scibert_ScienceIE
Version 0.0.0
spaCy >=3.1.1,<3.2.0
Default Pipeline transformer, ner
Components transformer, ner
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources n/a
License n/a
Author UBIAI (https://ubiai.tools)

Label Scheme

View label scheme (3 labels for 1 components)
Component Labels
ner MATERIAL, PROCESS, TASK

Accuracy

Type Score
ENTS_F 99.07
ENTS_P 98.91
ENTS_R 99.24
TRANSFORMER_LOSS 370249.46
NER_LOSS 216581.66