Adriane Boyd

Add vi_udv25_vietnamesevtb_trf-0.0.1

7506945 almost 4 years ago

3.34 kB

metadata

tags:
  - spacy
  - token-classification
language:
  - vi
license: cc-by-sa-4.0
model-index:
  - name: vi_udv25_vietnamesevtb_trf
    results:
      - task:
          name: TAG
          type: token-classification
        metrics:
          - name: TAG (XPOS) Accuracy
            type: accuracy
            value: 0.8805048216
      - task:
          name: POS
          type: token-classification
        metrics:
          - name: POS (UPOS) Accuracy
            type: accuracy
            value: 0.9018631331
      - task:
          name: MORPH
          type: token-classification
        metrics:
          - name: Morph (UFeats) Accuracy
            type: accuracy
            value: 0.9695345305
      - task:
          name: LEMMA
          type: token-classification
        metrics:
          - name: Lemma Accuracy
            type: accuracy
            value: 0.8934519139
      - task:
          name: UNLABELED_DEPENDENCIES
          type: token-classification
        metrics:
          - name: Unlabeled Attachment Score (UAS)
            type: f_score
            value: 0.6807696182
      - task:
          name: LABELED_DEPENDENCIES
          type: token-classification
        metrics:
          - name: Labeled Attachment Score (LAS)
            type: f_score
            value: 0.6063552526
      - task:
          name: SENTS
          type: token-classification
        metrics:
          - name: Sentences F-Score
            type: f_score
            value: 0.943275972

UD v2.5 benchmarking pipeline for UD_Vietnamese-VTB

Feature	Description
Name	`vi_udv25_vietnamesevtb_trf`
Version	`0.0.1`
spaCy	`>=3.2.1,<3.3.0`
Default Pipeline	`experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer`
Components	`experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer`
Vectors	0 keys, 0 unique vectors (0 dimensions)
Sources	Universal Dependencies v2.5 (Zeman, Daniel; et al.)
License	`CC BY-SA 4.0`
Author	Explosion

Label Scheme

View label scheme (81 labels for 6 components)

Component	Labels
`experimental_char_ner_tokenizer`	`TOKEN`
`senter`	`I`, `S`
`tagger`	`!`, `"`, `,`, `-`, `.`, `...`, `:`, `;`, `?`, `@`, `A`, `C`, `CC`, `E`, `I`, `L`, `LBKT`, `M`, `N`, `NP`, `Nb`, `Nc`, `Np`, `Nu`, `Ny`, `P`, `R`, `RBKT`, `T`, `V`, `VP`, `X`, `Y`, `Z`
`morphologizer`	`POS=NOUN`, `POS=ADP`, `POS=X\|Polarity=Neg`, `POS=VERB`, `POS=ADJ`, `POS=PUNCT`, `POS=X`, `POS=SCONJ`, `NumType=Card\|POS=NUM`, `POS=DET`, `POS=CCONJ`, `POS=PROPN`, `POS=AUX`, `POS=PART`, `POS=INTJ`
`parser`	`ROOT`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `cop`, `csubj`, `dep`, `det`, `discourse`, `iobj`, `list`, `mark`, `nmod`, `nsubj`, `nummod`, `obj`, `obl`, `parataxis`, `punct`, `xcomp`
`experimental_edit_tree_lemmatizer`	`0`

Accuracy

Type	Score
`TOKEN_F`	87.90
`TOKEN_P`	86.84
`TOKEN_R`	89.00
`TOKEN_ACC`	98.42
`SENTS_F`	94.33
`SENTS_P`	96.23
`SENTS_R`	92.50
`TAG_ACC`	88.05
`POS_ACC`	90.19
`MORPH_ACC`	96.95
`DEP_UAS`	68.08
`DEP_LAS`	60.64
`LEMMA_ACC`	89.35