adrianeboyd commited on
Commit
940f852
1 Parent(s): 26f494b

Update spaCy pipeline

Browse files
README.md CHANGED
@@ -14,62 +14,62 @@ model-index:
14
  metrics:
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  - name: NER Precision
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  type: precision
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- value: 0.8307228916
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  - name: NER Recall
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  type: recall
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- value: 0.816943128
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  - name: NER F Score
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  type: f_score
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- value: 0.8237753883
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  - task:
25
  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: 0.9726155711
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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: 0.9726155711
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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: 0.9588648574
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  - task:
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  name: LEMMA
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  type: token-classification
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  metrics:
49
  - name: Lemma Accuracy
50
  type: accuracy
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- value: 0.9712137072
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  - task:
53
  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: 0.8923091347
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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: 0.8610490461
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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: 0.9326446281
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  ---
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  ### Details: https://spacy.io/models/nb#nb_core_news_md
75
 
@@ -78,8 +78,8 @@ Norwegian (Bokmål) pipeline optimized for CPU. Components: tok2vec, morphologiz
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `nb_core_news_md` |
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- | **Version** | `3.4.0` |
82
- | **spaCy** | `>=3.4.0,<3.5.0` |
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  | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
84
  | **Components** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
85
  | **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
@@ -105,22 +105,22 @@ Norwegian (Bokmål) pipeline optimized for CPU. Components: tok2vec, morphologiz
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  | Type | Score |
107
  | --- | --- |
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- | `TOKEN_ACC` | 99.90 |
109
  | `TOKEN_P` | 99.71 |
110
  | `TOKEN_R` | 99.53 |
111
  | `TOKEN_F` | 99.62 |
112
- | `POS_ACC` | 97.26 |
113
- | `MORPH_ACC` | 95.89 |
114
- | `MORPH_MICRO_P` | 97.63 |
115
- | `MORPH_MICRO_R` | 96.78 |
116
- | `MORPH_MICRO_F` | 97.20 |
117
- | `SENTS_P` | 92.84 |
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- | `SENTS_R` | 93.69 |
119
- | `SENTS_F` | 93.26 |
120
- | `DEP_UAS` | 89.23 |
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- | `DEP_LAS` | 86.10 |
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- | `LEMMA_ACC` | 97.12 |
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- | `TAG_ACC` | 97.26 |
124
- | `ENTS_P` | 83.07 |
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- | `ENTS_R` | 81.69 |
126
- | `ENTS_F` | 82.38 |
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.811827957
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.8050947867
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.8084473528
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
+ value: 0.9728910684
31
  - task:
32
  name: POS
33
  type: token-classification
34
  metrics:
35
  - name: POS (UPOS) Accuracy
36
  type: accuracy
37
+ value: 0.9728910684
38
  - task:
39
  name: MORPH
40
  type: token-classification
41
  metrics:
42
  - name: Morph (UFeats) Accuracy
43
  type: accuracy
44
+ value: 0.9586576479
45
  - task:
46
  name: LEMMA
47
  type: token-classification
48
  metrics:
49
  - name: Lemma Accuracy
50
  type: accuracy
51
+ value: 0.970965787
52
  - task:
53
  name: UNLABELED_DEPENDENCIES
54
  type: token-classification
55
  metrics:
56
  - name: Unlabeled Attachment Score (UAS)
57
  type: f_score
58
+ value: 0.8936788796
59
  - task:
60
  name: LABELED_DEPENDENCIES
61
  type: token-classification
62
  metrics:
63
  - name: Labeled Attachment Score (LAS)
64
  type: f_score
65
+ value: 0.8623767174
66
  - task:
67
  name: SENTS
68
  type: token-classification
69
  metrics:
70
  - name: Sentences F-Score
71
  type: f_score
72
+ value: 0.9485952133
73
  ---
74
  ### Details: https://spacy.io/models/nb#nb_core_news_md
75
 
 
78
  | Feature | Description |
79
  | --- | --- |
80
  | **Name** | `nb_core_news_md` |
81
+ | **Version** | `3.5.0` |
82
+ | **spaCy** | `>=3.5.0,<3.6.0` |
83
  | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
84
  | **Components** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
85
  | **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
 
105
 
106
  | Type | Score |
107
  | --- | --- |
108
+ | `TOKEN_ACC` | 99.81 |
109
  | `TOKEN_P` | 99.71 |
110
  | `TOKEN_R` | 99.53 |
111
  | `TOKEN_F` | 99.62 |
112
+ | `POS_ACC` | 97.29 |
113
+ | `MORPH_ACC` | 95.87 |
114
+ | `MORPH_MICRO_P` | 97.59 |
115
+ | `MORPH_MICRO_R` | 96.65 |
116
+ | `MORPH_MICRO_F` | 97.12 |
117
+ | `SENTS_P` | 95.12 |
118
+ | `SENTS_R` | 94.60 |
119
+ | `SENTS_F` | 94.86 |
120
+ | `DEP_UAS` | 89.37 |
121
+ | `DEP_LAS` | 86.24 |
122
+ | `LEMMA_ACC` | 97.10 |
123
+ | `TAG_ACC` | 97.29 |
124
+ | `ENTS_P` | 81.18 |
125
+ | `ENTS_R` | 80.51 |
126
+ | `ENTS_F` | 80.84 |
accuracy.json CHANGED
@@ -1,63 +1,63 @@
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  {
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- "token_acc": 0.9990350152,
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  "token_p": 0.997080292,
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  "token_r": 0.9953256895,
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  "token_f": 0.9962022181,
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- "pos_acc": 0.9726155711,
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- "morph_acc": 0.9588648574,
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- "morph_micro_p": 0.9762975408,
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- "morph_micro_r": 0.9677851253,
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- "morph_micro_f": 0.9720226967,
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  "morph_per_feat": {
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  "Gender": {
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- "f": 0.9454891692
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  },
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  "Number": {
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- "r": 0.9662246318,
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- "f": 0.9719929245
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  },
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  "Mood": {
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- "p": 0.985434455,
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- "r": 0.9812453113,
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- "f": 0.9833354216
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  },
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  "Tense": {
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  },
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  "VerbForm": {
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- "p": 0.9756774404,
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- "r": 0.9740873533,
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- "f": 0.9748817485
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  "Degree": {
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  },
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  "PronType": {
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  "Case": {
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  "Reflex": {
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  "p": 1.0,
@@ -65,191 +65,186 @@
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  "f": 1.0
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  },
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  "NumType": {
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- "f": 0.9974424552
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  },
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  "Voice": {
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  }
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- "dep_uas": 0.8923091347,
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- "dep_las": 0.8610490461,
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  "dep_las_per_type": {
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  },
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  "expl": {
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  "p": 0.0,
@@ -261,25 +256,30 @@
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  "r": 0.0,
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  "f": 0.0
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  },
 
 
 
 
 
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  "reparandum": {
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  "compound": {
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  "p": 0.0,
@@ -287,52 +287,52 @@
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  "f": 0.0
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  }
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- "lemma_acc": 0.9712137072,
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  "EVT": {
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  "r": 0.5555555556,
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- "f": 0.625
 
 
 
 
 
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  }
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  },
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- "speed": 9847.9572403325
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  }
 
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  "token_p": 0.997080292,
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  "morph_per_feat": {
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  "Gender": {
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  "Reflex": {
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