README.md

metadata

tags:
  - spacy
  - token-classification
language:
  - en
model-index:
  - name: en_engagement_Dual_RoBERTa_acad3_f5
    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: 0.9056497175

Feature	Description
Name	en_engagement_Dual_RoBERTa_acad3_f5
Version	1.0.0
spaCy	>=3.4.4,<3.5.0
Default Pipeline	transformer, parser, tagger, ner, attribute_ruler, lemmatizer, trainable_transformer, spancat
Components	transformer, parser, tagger, ner, attribute_ruler, lemmatizer, trainable_transformer, spancat
Vectors	0 keys, 0 unique vectors (0 dimensions)
Sources	n/a
License	n/a
Author	n/a

Label Scheme

View label scheme (122 labels for 4 components)

Component	Labels
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
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, ````
ner	CARDINAL, DATE, EVENT, FAC, GPE, LANGUAGE, LAW, LOC, MONEY, NORP, ORDINAL, ORG, PERCENT, PERSON, PRODUCT, QUANTITY, TIME, WORK_OF_ART
spancat	ATTRIBUTION, ENTERTAIN, PROCLAIM, COUNTER, CITATION, SOURCES, JUSTIFYING, MONOGLOSS, DENY, ENDOPHORIC

Accuracy

Type	Score
DEP_UAS	0.00
DEP_LAS	0.00
DEP_LAS_PER_TYPE	0.00
SENTS_P	90.21
SENTS_R	90.92
SENTS_F	90.56
TAG_ACC	0.00
ENTS_F	0.00
ENTS_P	0.00
ENTS_R	0.00
LEMMA_ACC	0.00
SPANS_SC_F	76.82
SPANS_SC_P	78.25
SPANS_SC_R	75.45
TRAINABLE_TRANSFORMER_LOSS	349.05
SPANCAT_LOSS	77322.29