AnnemarieWittig's picture
Upload model trained with the spacy library to recognize addresses; base model is bert based
30a7165
raw
history blame
2.99 kB
{
"lang":"en",
"name":"pipeline",
"version":"0.0.0",
"spacy_version":">=3.4.1,<3.5.0",
"description":"",
"author":"",
"email":"",
"url":"",
"license":"",
"spacy_git_version":"Unknown",
"vectors":{
"width":0,
"vectors":0,
"keys":0,
"name":null,
"mode":"default"
},
"labels":{
"transformer":[
],
"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",
"CITY",
"DATE",
"EVENT",
"FAC",
"GPE",
"HOUSE_NR",
"LANGUAGE",
"LAW",
"LOC",
"MONEY",
"NORP",
"ORDINAL",
"ORG",
"PERCENT",
"PERSON",
"POST_CODE",
"PRODUCT",
"QUANTITY",
"STREET",
"TIME",
"WORK_OF_ART"
]
},
"pipeline":[
"transformer",
"tagger",
"parser",
"ner"
],
"components":[
"transformer",
"tagger",
"parser",
"ner"
],
"disabled":[
],
"performance":{
"tag_acc":0.0,
"dep_uas":0.0,
"dep_las":0.0,
"dep_las_per_type":0.0,
"sents_p":0.0,
"sents_r":0.0,
"sents_f":0.0,
"ents_f":0.977443609,
"ents_p":0.9701492537,
"ents_r":0.9848484848,
"ents_per_type":{
"STREET":{
"p":0.9325842697,
"r":0.9651162791,
"f":0.9485714286
},
"HOUSE_NR":{
"p":0.9873417722,
"r":1.0,
"f":0.9936305732
},
"POST_CODE":{
"p":1.0,
"r":1.0,
"f":1.0
},
"CITY":{
"p":0.9642857143,
"r":0.9759036145,
"f":0.9700598802
}
},
"transformer_loss":85.5390915703,
"tagger_loss":0.0,
"parser_loss":0.0,
"ner_loss":927.719011857
}
}