en_scispaCy_aaa_repair_type_classification

danielcthompson/en_scispaCy_aaa_repair_type_classification

en_scispaCy_aaa_repair_type_classification is a text classification model from danielcthompson. Use it when you need a label for a piece of text. It is set up for spacy.

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At a glance

Task: Text Classification
Library: spacy
Access: Public
Created: Aug 24, 2024
Updated: Aug 24, 2024
SHA: 7e49dee5

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Model card

From the Hugging Face model README

Feature	Description
Name	`en_scispaCy_aaa_repair_type_classification`
Version	`0.0.0`
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	n/a
Author	n/a

Label Scheme

<details> <summary>View label scheme (101 labels for 4 components)</summary>

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`, `acl:relcl`, `acomp`, `advcl`, `advmod`, `amod`, `amod@nmod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `cc:preconj`, `ccomp`, `compound`, `compound:prt`, `conj`, `cop`, `csubj`, `dative`, `dep`, `det`, `det:predet`, `dobj`, `expl`, `intj`, `mark`, `meta`, `mwe`, `neg`, `nmod`, `nmod:npmod`, `nmod:poss`, `nmod:tmod`, `nsubj`, `nsubjpass`, `nummod`, `parataxis`, `pcomp`, `pobj`, `preconj`, `predet`, `prep`, `punct`, `quantmod`, `xcomp`
`ner`	`ENTITY`
`textcat_multilabel`	`Primary AAA Repair`, `Revision AAA Repair`, `Non-AAA`

</details>

Accuracy

Type	Score
`TAG_ACC`	0.00
`LEMMA_ACC`	0.00
`DEP_UAS`	0.00
`DEP_LAS`	0.00
`DEP_LAS_PER_TYPE`	0.00
`SENTS_P`	0.00
`SENTS_R`	0.00
`SENTS_F`	0.00
`ENTS_F`	0.00
`ENTS_P`	0.00
`ENTS_R`	0.00
`ENTS_PER_TYPE`	0.00
`CATS_SCORE`	97.93
`CATS_MICRO_P`	92.39
`CATS_MICRO_R`	93.41
`CATS_MICRO_F`	92.90
`CATS_MACRO_P`	90.15
`CATS_MACRO_R`	93.13
`CATS_MACRO_F`	91.46
`CATS_MACRO_AUC`	97.93
`TOK2VEC_LOSS`	307.11
`TEXTCAT_MULTILABEL_LOSS`	100.03

Task: Text Classification
Library: spacy
Languages: en
Created: Aug 24, 2024
Updated: Aug 24, 2024