metadata
tags:
- spacy
- token-classification
- text-classification
language:
- en
model-index:
- name: en_scispaCy_aaa_classification
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
| Feature | Description |
|---|---|
| Name | en_scispaCy_aaa_classification |
| Version | 1.0.0 |
| spaCy | >=3.7.4,<3.8.0 |
| Default Pipeline | tok2vec, tagger, attribute_ruler, lemmatizer, parser, ner, textcat_multilabel |
| Components | tok2vec, tagger, attribute_ruler, lemmatizer, parser, ner, textcat_multilabel |
| Vectors | 4087446 keys, 50000 unique vectors (200 dimensions) |
| Sources | n/a |
| License | GPL v3 |
| Author | Daniel C Thompson |
Label Scheme
View label scheme (99 labels for 4 components)
| Component | Labels |
| textcat_multilabel | AAA |
Accuracy
| Type | Score |
|---|---|
CATS_SCORE |
99.46 |
CATS_MICRO_P |
93.06 |
CATS_MICRO_R |
99.26 |
CATS_MICRO_F |
96.06 |
CATS_MACRO_P |
93.06 |
CATS_MACRO_R |
99.26 |
CATS_MACRO_F |
96.06 |
CATS_MACRO_AUC |
99.46 |
TOK2VEC_LOSS |
76.75 |
TEXTCAT_MULTILABEL_LOSS |
246.39 |