README.md

metadata

tags:
  - spacy
  - token-classification
language:
  - en
model-index:
  - name: en_engagement_spl_RoBERTa_acad_max1_do02
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0
          - name: NER Recall
            type: recall
            value: 0
          - name: NER F Score
            type: f_score
            value: 0
      - task:
          name: TAG
          type: token-classification
        metrics:
          - name: TAG (XPOS) Accuracy
            type: accuracy
            value: 0
      - task:
          name: LEMMA
          type: token-classification
        metrics:
          - name: Lemma Accuracy
            type: accuracy
            value: 0
      - task:
          name: UNLABELED_DEPENDENCIES
          type: token-classification
        metrics:
          - name: Unlabeled Attachment Score (UAS)
            type: f_score
            value: 0
      - task:
          name: LABELED_DEPENDENCIES
          type: token-classification
        metrics:
          - name: Labeled Attachment Score (LAS)
            type: f_score
            value: 0
      - task:
          name: SENTS
          type: token-classification
        metrics:
          - name: Sentences F-Score
            type: f_score
            value: 0.9024390244

Feature	Description
Name	en_engagement_spl_RoBERTa_acad_max1_do02
Version	0.2.6.1130
spaCy	>=3.3.0,<3.4.0
Default Pipeline	transformer, tagger, parser, ner, trainable_transformer, span_finder, spancat
Components	transformer, tagger, parser, ner, trainable_transformer, span_finder, spancat
Vectors	0 keys, 0 unique vectors (0 dimensions)
Sources	n/a
License	n/a
Author	n/a

Label Scheme

View label scheme (130 labels for 4 components)

Component	Labels
tagger	$, '', ,, -LRB-, -RRB-, ., :, ADD, AFX, CC, CD, DT, EX, FW, HYPH, IN, JJ, JJR, JJS, LS, MD, NFP, NN, NNP, NNPS, NNS, PDT, POS, PRP, PRP$, RB, RBR, RBS, RP, SYM, TO, UH, VB, VBD, VBG, VBN, VBP, VBZ, WDT, WP, WP$, WRB, XX, ````
parser	ROOT, acl, acomp, advcl, advmod, agent, amod, appos, attr, aux, auxpass, case, cc, ccomp, compound, conj, csubj, csubjpass, dative, dep, det, dobj, expl, intj, mark, meta, neg, nmod, npadvmod, nsubj, nsubjpass, nummod, oprd, parataxis, pcomp, pobj, poss, preconj, predet, prep, prt, punct, quantmod, relcl, xcomp
ner	CARDINAL, DATE, EVENT, FAC, GPE, LANGUAGE, LAW, LOC, MONEY, NORP, ORDINAL, ORG, PERCENT, PERSON, PRODUCT, QUANTITY, TIME, WORK_OF_ART
spancat	COUNTER, DENY, ATTRIBUTE, MONOGLOSS, CONCUR, SOURCES, JUSTIFYING, PRONOUNCE, ENTERTAIN, EXPOSITORY, EXEMPLIFYING, TEXT_SEQUENCING, ENDOPHORIC, CITATION, COMPARATIVE, ENDORSE, GOAL_ANNOUNCING, SUMMATIVE

Accuracy

Type	Score
TAG_ACC	0.00
DEP_UAS	0.00
DEP_LAS	0.00
DEP_LAS_PER_TYPE	0.00
SENTS_P	88.89
SENTS_R	91.64
SENTS_F	90.24
ENTS_F	0.00
ENTS_P	0.00
ENTS_R	0.00
SPAN_FINDER_SPAN_CANDIDATES_F	22.34
SPAN_FINDER_SPAN_CANDIDATES_P	13.11
SPAN_FINDER_SPAN_CANDIDATES_R	75.32
SPANS_SC_F	68.94
SPANS_SC_P	71.17
SPANS_SC_R	66.84
LEMMA_ACC	0.00
TRAINABLE_TRANSFORMER_LOSS	2060.73
SPAN_FINDER_LOSS	27815.12
SPANCAT_LOSS	35915.90