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sakelariev
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bg_news_lg

Token Classification
spaCy
Bulgarian
ner
named entity recognition
Eval Results
Model card Files Community
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Update README.md

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@@ -28,49 +28,49 @@ model-index:
28
  metrics:
29
  - name: TAG (XPOS) Accuracy
30
  type: accuracy
31
- value: 0.9565136361
32
  - task:
33
  name: POS
34
  type: token-classification
35
  metrics:
36
  - name: POS (UPOS) Accuracy
37
  type: accuracy
38
- value: 0.9858305885
39
  - task:
40
  name: MORPH
41
  type: token-classification
42
  metrics:
43
  - name: Morph (UFeats) Accuracy
44
  type: accuracy
45
- value: 0.9645896751
46
  - task:
47
  name: LEMMA
48
  type: token-classification
49
  metrics:
50
  - name: Lemma Accuracy
51
  type: accuracy
52
- value: 0.9271110013
53
  - task:
54
  name: UNLABELED_DEPENDENCIES
55
  type: token-classification
56
  metrics:
57
  - name: Unlabeled Attachment Score (UAS)
58
  type: f_score
59
- value: 0.9016132533
60
  - task:
61
  name: LABELED_DEPENDENCIES
62
  type: token-classification
63
  metrics:
64
  - name: Labeled Attachment Score (LAS)
65
  type: f_score
66
- value: 0.8459063799
67
  - task:
68
  name: SENTS
69
  type: token-classification
70
  metrics:
71
  - name: Sentences F-Score
72
  type: f_score
73
- value: 0.939802336
74
  tags:
75
  - ner
76
  - spacy
 
28
  metrics:
29
  - name: TAG (XPOS) Accuracy
30
  type: accuracy
31
+ value: 0.9602034329
32
  - task:
33
  name: POS
34
  type: token-classification
35
  metrics:
36
  - name: POS (UPOS) Accuracy
37
  type: accuracy
38
+ value: 0.986263911
39
  - task:
40
  name: MORPH
41
  type: token-classification
42
  metrics:
43
  - name: Morph (UFeats) Accuracy
44
  type: accuracy
45
+ value: 0.9697740203
46
  - task:
47
  name: LEMMA
48
  type: token-classification
49
  metrics:
50
  - name: Lemma Accuracy
51
  type: accuracy
52
+ value: 0.9276507014
53
  - task:
54
  name: UNLABELED_DEPENDENCIES
55
  type: token-classification
56
  metrics:
57
  - name: Unlabeled Attachment Score (UAS)
58
  type: f_score
59
+ value: 0.9029526462
60
  - task:
61
  name: LABELED_DEPENDENCIES
62
  type: token-classification
63
  metrics:
64
  - name: Labeled Attachment Score (LAS)
65
  type: f_score
66
+ value: 0.8497959184
67
  - task:
68
  name: SENTS
69
  type: token-classification
70
  metrics:
71
  - name: Sentences F-Score
72
  type: f_score
73
+ value: 0.9372197309
74
  tags:
75
  - ner
76
  - spacy