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spacy
/
da_core_news_trf

Token Classification
spaCy
Danish
Eval Results
Model card Files Community
Adriane Boyd commited on
Commit
c2cc21c
•
1 Parent(s): cc45a23

Update spaCy pipeline

Browse files
Files changed (12) hide show
  1. README.md +27 -27
  2. accuracy.json +153 -153
  3. da_core_news_trf-any-py3-none-any.whl +2 -2
  4. lemmatizer/cfg +192 -189
  5. lemmatizer/model +2 -2
  6. lemmatizer/trees +0 -0
  7. meta.json +156 -156
  8. morphologizer/model +1 -1
  9. ner/model +1 -1
  10. parser/model +1 -1
  11. transformer/model +2 -2
  12. vocab/strings.json +2 -2
README.md CHANGED
@@ -14,62 +14,62 @@ model-index:
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
- value: 0.8106995885
18
  - name: NER Recall
19
  type: recall
20
- value: 0.8208333333
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.8157349896
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
- value: 0.9763184658
31
  - task:
32
  name: POS
33
  type: token-classification
34
  metrics:
35
  - name: POS (UPOS) Accuracy
36
  type: accuracy
37
- value: 0.9763184658
38
  - task:
39
  name: MORPH
40
  type: token-classification
41
  metrics:
42
  - name: Morph (UFeats) Accuracy
43
  type: accuracy
44
- value: 0.97360647
45
  - task:
46
  name: LEMMA
47
  type: token-classification
48
  metrics:
49
  - name: Lemma Accuracy
50
  type: accuracy
51
- value: 0.9458595642
52
  - task:
53
  name: UNLABELED_DEPENDENCIES
54
  type: token-classification
55
  metrics:
56
  - name: Unlabeled Attachment Score (UAS)
57
  type: f_score
58
- value: 0.8620092701
59
  - task:
60
  name: LABELED_DEPENDENCIES
61
  type: token-classification
62
  metrics:
63
  - name: Labeled Attachment Score (LAS)
64
  type: f_score
65
- value: 0.8339289703
66
  - task:
67
  name: SENTS
68
  type: token-classification
69
  metrics:
70
  - name: Sentences F-Score
71
  type: f_score
72
- value: 0.8692579505
73
  ---
74
  ### Details: https://spacy.io/models/da#da_core_news_trf
75
 
@@ -78,8 +78,8 @@ Danish transformer pipeline (Maltehb/danish-bert-botxo). Components: transformer
78
  | Feature | Description |
79
  | --- | --- |
80
  | **Name** | `da_core_news_trf` |
81
- | **Version** | `3.3.0` |
82
- | **spaCy** | `>=3.3.0.dev0,<3.4.0` |
83
  | **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
84
  | **Components** | `transformer`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
85
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -109,18 +109,18 @@ Danish transformer pipeline (Maltehb/danish-bert-botxo). Components: transformer
109
  | `TOKEN_P` | 99.78 |
110
  | `TOKEN_R` | 99.75 |
111
  | `TOKEN_F` | 99.76 |
112
- | `POS_ACC` | 97.63 |
113
- | `MORPH_ACC` | 97.36 |
114
- | `MORPH_MICRO_P` | 98.75 |
115
- | `MORPH_MICRO_R` | 98.03 |
116
- | `MORPH_MICRO_F` | 98.39 |
117
- | `SENTS_P` | 86.62 |
118
- | `SENTS_R` | 87.23 |
119
- | `SENTS_F` | 86.93 |
120
- | `DEP_UAS` | 86.20 |
121
- | `DEP_LAS` | 83.39 |
122
- | `LEMMA_ACC` | 94.59 |
123
- | `TAG_ACC` | 97.63 |
124
- | `ENTS_P` | 81.07 |
125
- | `ENTS_R` | 82.08 |
126
- | `ENTS_F` | 81.57 |
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.8118609407
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.8270833333
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.8194014448
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
+ value: 0.9746222394
31
  - task:
32
  name: POS
33
  type: token-classification
34
  metrics:
35
  - name: POS (UPOS) Accuracy
36
  type: accuracy
37
+ value: 0.9746222394
38
  - task:
39
  name: MORPH
40
  type: token-classification
41
  metrics:
42
  - name: Morph (UFeats) Accuracy
43
  type: accuracy
44
+ value: 0.971716389
45
  - task:
46
  name: LEMMA
47
  type: token-classification
48
  metrics:
49
  - name: Lemma Accuracy
50
  type: accuracy
51
+ value: 0.9459564165
52
  - task:
53
  name: UNLABELED_DEPENDENCIES
54
  type: token-classification
55
  metrics:
56
  - name: Unlabeled Attachment Score (UAS)
57
  type: f_score
58
+ value: 0.8596491228
59
  - task:
60
  name: LABELED_DEPENDENCIES
61
  type: token-classification
62
  metrics:
63
  - name: Labeled Attachment Score (LAS)
64
  type: f_score
65
+ value: 0.8301675978
66
  - task:
67
  name: SENTS
68
  type: token-classification
69
  metrics:
70
  - name: Sentences F-Score
71
  type: f_score
72
+ value: 0.832319722
73
  ---
74
  ### Details: https://spacy.io/models/da#da_core_news_trf
75
 
 
78
  | Feature | Description |
79
  | --- | --- |
80
  | **Name** | `da_core_news_trf` |
81
+ | **Version** | `3.4.0` |
82
+ | **spaCy** | `>=3.4.0,<3.5.0` |
83
  | **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
84
  | **Components** | `transformer`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
85
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 
109
  | `TOKEN_P` | 99.78 |
110
  | `TOKEN_R` | 99.75 |
111
  | `TOKEN_F` | 99.76 |
112
+ | `POS_ACC` | 97.46 |
113
+ | `MORPH_ACC` | 97.17 |
114
+ | `MORPH_MICRO_P` | 98.72 |
115
+ | `MORPH_MICRO_R` | 97.61 |
116
+ | `MORPH_MICRO_F` | 98.16 |
117
+ | `SENTS_P` | 81.60 |
118
+ | `SENTS_R` | 84.93 |
119
+ | `SENTS_F` | 83.23 |
120
+ | `DEP_UAS` | 85.96 |
121
+ | `DEP_LAS` | 83.02 |
122
+ | `LEMMA_ACC` | 94.60 |
123
+ | `TAG_ACC` | 97.46 |
124
+ | `ENTS_P` | 81.19 |
125
+ | `ENTS_R` | 82.71 |
126
+ | `ENTS_F` | 81.94 |
accuracy.json CHANGED
@@ -3,51 +3,51 @@
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  "token_p": 0.9977732598,
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  "token_r": 0.9974835463,
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  "token_f": 0.997628382,
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- "morph_acc": 0.97360647,
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- "morph_micro_p": 0.9874911014,
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- "morph_micro_r": 0.98026349,
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  "morph_per_feat": {
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  "Mood": {
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  "Voice": {
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  "Definite": {
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  "p": 1.0,
@@ -55,19 +55,19 @@
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  "f": 0.9983739837
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@@ -75,9 +75,9 @@
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  },
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  "Reflex": {
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  "p": 1.0,
@@ -100,14 +100,14 @@
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  "f": 0.9942857143
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  "Foreign": {
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- "p": 1.0,
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  "Abbr": {
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- "f": 0.6666666667
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  "Style": {
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  "p": 1.0,
@@ -115,66 +115,66 @@
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  "f": 1.0
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- "sents_p": 0.8661971831,
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@@ -187,74 +187,69 @@
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@@ -262,57 +257,62 @@
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  "fixed": {
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  }
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  },
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- "lemma_acc": 0.9458595642,
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  }
 
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  "Degree": {
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  "Reflex": {
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  }
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+ "sents_p": 0.8160136286,
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  "dep_las_per_type": {
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