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sakelariev
/
bg_news_trf

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

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  1. README.md +13 -13
README.md CHANGED
@@ -7,7 +7,7 @@ metrics:
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  library_name: spacy
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  pipeline_tag: token-classification
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  model-index:
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- - name: bg_news_lg
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  results:
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  - task:
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  name: NER
@@ -15,62 +15,62 @@ model-index:
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  metrics:
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  - name: NER Precision
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  type: precision
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- value: 0.9090909091
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  - name: NER Recall
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  type: recall
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- value: 0.8773461371
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  - name: NER F Score
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  type: f_score
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- value: 0.8929364727
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  - task:
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  name: TAG
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  type: token-classification
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  metrics:
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  - name: TAG (XPOS) Accuracy
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  type: accuracy
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- value: 0.9565136361
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  - task:
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  name: POS
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  type: token-classification
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  metrics:
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  - name: POS (UPOS) Accuracy
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  type: accuracy
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- value: 0.9858305885
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  - task:
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  name: MORPH
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  type: token-classification
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  metrics:
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  - name: Morph (UFeats) Accuracy
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  type: accuracy
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- value: 0.9645896751
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  - task:
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  name: LEMMA
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  type: token-classification
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  metrics:
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  - name: Lemma Accuracy
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  type: accuracy
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- value: 0.9271110013
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  - task:
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  name: UNLABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
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  - name: Unlabeled Attachment Score (UAS)
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  type: f_score
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- value: 0.9016132533
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  - task:
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  name: LABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
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  - name: Labeled Attachment Score (LAS)
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  type: f_score
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- value: 0.8459063799
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  - task:
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  name: SENTS
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  type: token-classification
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  metrics:
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  - name: Sentences F-Score
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  type: f_score
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- value: 0.939802336
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  tags:
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  - ner
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  - named entity recognition
@@ -84,8 +84,8 @@ tags:
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  | **Default Pipeline** | `transformer`, `tagger`, `morphologizer`, `parser`, `trainable_lemmatizer`, `ner` |
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  | **Components** | `transformer`, `tagger`, `morphologizer`, `parser`, `trainable_lemmatizer`, `ner` |
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  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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- | **Sources** | [UD_Bulgarian-BTB](https://github.com/UniversalDependencies/UD_Bulgarian-BTB) (Kiril Simov and Petya Osenova) |
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  | **License** | CC-BY-NC-SA-3.0 |
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  | **Author** | [Ivaylo Sakelariev](https://github.com/sakelariev) |
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- Bulgarian large sized pipeline for BGspaCy. Components: tok2vec, tagger, morphologizer, lemmatizer, parser, ner
 
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  library_name: spacy
8
  pipeline_tag: token-classification
9
  model-index:
10
+ - name: bg_news_trf
11
  results:
12
  - task:
13
  name: NER
 
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  metrics:
16
  - name: NER Precision
17
  type: precision
18
+ value: 0.8890829694
19
  - name: NER Recall
20
  type: recall
21
+ value: 0.8886948931
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  - name: NER F Score
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  type: f_score
24
+ value: 0.8888888889
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  - task:
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  name: TAG
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  type: token-classification
28
  metrics:
29
  - name: TAG (XPOS) Accuracy
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  type: accuracy
31
+ value: 0.9702076246
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  - task:
33
  name: POS
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  type: token-classification
35
  metrics:
36
  - name: POS (UPOS) Accuracy
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  type: accuracy
38
+ value: 0.9897910505
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  - task:
40
  name: MORPH
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  type: token-classification
42
  metrics:
43
  - name: Morph (UFeats) Accuracy
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  type: accuracy
45
+ value: 0.9764380425
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  - task:
47
  name: LEMMA
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  type: token-classification
49
  metrics:
50
  - name: Lemma Accuracy
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  type: accuracy
52
+ value: 0.9404442198
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  - task:
54
  name: UNLABELED_DEPENDENCIES
55
  type: token-classification
56
  metrics:
57
  - name: Unlabeled Attachment Score (UAS)
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  type: f_score
59
+ value: 0.9349327787
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  - task:
61
  name: LABELED_DEPENDENCIES
62
  type: token-classification
63
  metrics:
64
  - name: Labeled Attachment Score (LAS)
65
  type: f_score
66
+ value: 0.8934417103
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  - task:
68
  name: SENTS
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  type: token-classification
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  metrics:
71
  - name: Sentences F-Score
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  type: f_score
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+ value: 0.9241131567
74
  tags:
75
  - ner
76
  - named entity recognition
 
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  | **Default Pipeline** | `transformer`, `tagger`, `morphologizer`, `parser`, `trainable_lemmatizer`, `ner` |
85
  | **Components** | `transformer`, `tagger`, `morphologizer`, `parser`, `trainable_lemmatizer`, `ner` |
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  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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+ | **Sources** | [UD_Bulgarian-BTB](https://github.com/UniversalDependencies/UD_Bulgarian-BTB) (Kiril Simov and Petya Osenova) [BERT multilingual base model (uncased)](https://huggingface.co/bert-base-multilingual-uncased) (Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova)|
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  | **License** | CC-BY-NC-SA-3.0 |
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  | **Author** | [Ivaylo Sakelariev](https://github.com/sakelariev) |
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+ Bulgarian transformers pipeline for BGspaCy. Components: tok2vec, tagger, morphologizer, lemmatizer, parser, ner