tr_pipeline / README.md
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Update spaCy pipeline
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metadata
tags:
  - spacy
language:
  - tr
model-index:
  - name: tr_pipeline
    results:
      - task:
          name: UNLABELED_DEPENDENCIES
          type: token-classification
        metrics:
          - name: Unlabeled Attachment Score (UAS)
            type: f_score
            value: 0.7006564925
      - task:
          name: LABELED_DEPENDENCIES
          type: token-classification
        metrics:
          - name: Labeled Attachment Score (LAS)
            type: f_score
            value: 0.5838980523
      - task:
          name: SENTS
          type: token-classification
        metrics:
          - name: Sentences F-Score
            type: f_score
            value: 0.9419035847
Feature Description
Name tr_pipeline
Version 0.0.0
spaCy >=3.6.1,<3.7.0
Default Pipeline transformer, parser
Components transformer, parser
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources n/a
License n/a
Author n/a

Label Scheme

View label scheme (30 labels for 1 components)
Component Labels
parser ROOT, acl, advcl, advmod, advmod:emph, amod, aux, aux:q, case, cc, ccomp, compound, conj, cop, dep, det, discourse, dislocated, fixed, mark, nmod, nsubj, nummod, obj, obl, parataxis, parataxis:discourse, punct, reparandum, xcomp

Accuracy

Type Score
DEP_UAS 70.07
DEP_LAS 58.39
SENTS_P 93.27
SENTS_R 95.13
SENTS_F 94.19
TRANSFORMER_LOSS 147546.35
PARSER_LOSS 1466303.90