martin-bendik's picture
Update spaCy pipeline
3b893b0
metadata
tags:
  - spacy
  - token-classification
language:
  - multilingual
model-index:
  - name: xx_ner_sport_entities_uncased
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.9615384615
          - name: NER Recall
            type: recall
            value: 0.9615384615
          - name: NER F Score
            type: f_score
            value: 0.9615384615
Feature Description
Name xx_ner_sport_entities_uncased
Version 1.9.0
spaCy >=3.5.1,<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 (4 labels for 1 components)
Component Labels
ner ALIAS_TEAM, PLAYER, TEAM, TOURNAMENT

Accuracy

Type Score
ENTS_F 96.15
ENTS_P 96.15
ENTS_R 96.15
TRANSFORMER_LOSS 449290.11
NER_LOSS 202458.93