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spacy
/
da_core_news_trf

Token Classification
spaCy
Danish
Eval Results (legacy)
Model card Files
xet
 Community
adrianeboyd commited on
Commit
eca5c8a
·
1 Parent(s): c2cc21c

Update spaCy pipeline

Browse files
Files changed (15) hide show
  1. README.md +25 -25
  2. accuracy.json +159 -159
  3. attribute_ruler/patterns +0 -0
  4. config.cfg +2 -1
  5. da_core_news_trf-any-py3-none-any.whl +2 -2
  6. lemmatizer/cfg +149 -149
  7. lemmatizer/model +1 -1
  8. lemmatizer/trees +0 -0
  9. meta.json +163 -163
  10. morphologizer/model +1 -1
  11. ner/model +1 -1
  12. parser/model +1 -1
  13. tokenizer +0 -0
  14. transformer/model +2 -2
  15. 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: 0.8118609407
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
 
@@ -78,8 +78,8 @@ Danish transformer pipeline (Maltehb/danish-bert-botxo). Components: transformer
78
  | Feature | Description |
79
  | --- | --- |
80
  | **Name** | `da_core_news_trf` |
81
- | **Version** | `3.4.0` |
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) |
@@ -105,22 +105,22 @@ Danish transformer pipeline (Maltehb/danish-bert-botxo). Components: transformer
105
 
106
  | Type | Score |
107
  | --- | --- |
108
- | `TOKEN_ACC` | 99.95 |
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 |
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.8236514523
18
  - name: NER Recall
19
  type: recall
20
  value: 0.8270833333
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.8253638254
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
+ value: 0.9767058937
31
  - task:
32
  name: POS
33
  type: token-classification
34
  metrics:
35
  - name: POS (UPOS) Accuracy
36
  type: accuracy
37
+ value: 0.9767058937
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: 0.9471186441
52
  - task:
53
  name: UNLABELED_DEPENDENCIES
54
  type: token-classification
55
  metrics:
56
  - name: Unlabeled Attachment Score (UAS)
57
  type: f_score
58
+ value: 0.8648950424
59
  - task:
60
  name: LABELED_DEPENDENCIES
61
  type: token-classification
62
  metrics:
63
  - name: Labeled Attachment Score (LAS)
64
  type: f_score
65
+ value: 0.8355942612
66
  - task:
67
  name: SENTS
68
  type: token-classification
69
  metrics:
70
  - name: Sentences F-Score
71
  type: f_score
72
+ value: 0.8591674048
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** | `3.5.0` |
82
+ | **spaCy** | `>=3.5.0,<3.6.0` |
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) |
 
105
 
106
  | Type | Score |
107
  | --- | --- |
108
+ | `TOKEN_ACC` | 99.89 |
109
  | `TOKEN_P` | 99.78 |
110
  | `TOKEN_R` | 99.75 |
111
  | `TOKEN_F` | 99.76 |
112
+ | `POS_ACC` | 97.67 |
113
+ | `MORPH_ACC` | 97.36 |
114
  | `MORPH_MICRO_P` | 98.72 |
115
+ | `MORPH_MICRO_R` | 97.89 |
116
+ | `MORPH_MICRO_F` | 98.30 |
117
+ | `SENTS_P` | 85.84 |
118
+ | `SENTS_R` | 85.99 |
119
+ | `SENTS_F` | 85.92 |
120
+ | `DEP_UAS` | 86.49 |
121
+ | `DEP_LAS` | 83.56 |
122
+ | `LEMMA_ACC` | 94.71 |
123
+ | `TAG_ACC` | 97.67 |
124
+ | `ENTS_P` | 82.37 |
125
  | `ENTS_R` | 82.71 |
126
+ | `ENTS_F` | 82.54 |
accuracy.json CHANGED
@@ -1,53 +1,53 @@
1
  {
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- "token_acc": 0.9994672349,
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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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- "pos_acc": 0.9746222394,
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- "morph_acc": 0.971716389,
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- "morph_micro_p": 0.9871860323,
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- "morph_micro_r": 0.9760738983,
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- "morph_micro_f": 0.9815985177,
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  "morph_per_feat": {
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  "Mood": {
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- "p": 0.9923150817,
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- "r": 0.9847473785,
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- "f": 0.9885167464
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  },
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  "Tense": {
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- "p": 0.9870525514,
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  },
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  "VerbForm": {
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- "p": 0.9863861386,
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  },
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  "Voice": {
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- "p": 0.9917293233,
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- "r": 0.985799701,
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- "f": 0.9887556222
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  },
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  "Definite": {
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- "p": 0.98915227,
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  "r": 0.9727380482,
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- "f": 0.980876494
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  },
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  "Gender": {
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- "p": 0.9797843666,
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- "r": 0.9664340312,
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- "f": 0.9730634097
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  "Number": {
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  "PartType": {
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  "p": 1.0,
@@ -55,19 +55,19 @@
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  "f": 0.9983739837
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  },
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  "Case": {
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- "p": 0.9919614148,
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- "r": 0.9747235387,
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  },
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  "Person": {
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- "p": 0.9856630824,
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  },
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  "PronType": {
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- "p": 0.9925373134,
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- "r": 0.984375,
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- "f": 0.9884393064
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  "NumType": {
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  "p": 0.9865771812,
@@ -75,20 +75,15 @@
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  "f": 0.98
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  },
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  "Degree": {
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- "p": 0.9697702539,
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  },
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  "Reflex": {
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  "p": 1.0,
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  "r": 1.0,
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  "f": 1.0
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  },
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- "Polite": {
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- "p": 0.0,
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- "r": 0.0,
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- "f": 0.0
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- },
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  "Number[psor]": {
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  "p": 0.9770114943,
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  "r": 0.988372093,
@@ -100,9 +95,9 @@
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  "f": 0.9942857143
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  },
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  "Foreign": {
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- "p": 0.7777777778,
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- "r": 0.7,
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- "f": 0.7368421053
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  "Abbr": {
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  "p": 1.0,
@@ -113,143 +108,148 @@
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  "p": 1.0,
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  "r": 1.0,
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  "f": 1.0
 
 
 
 
 
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  }
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  },
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- "sents_p": 0.8160136286,
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- "sents_f": 0.832319722,
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- "dep_uas": 0.8596491228,
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- "dep_las": 0.8301675978,
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  "dep_las_per_type": {
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  "advmod": {
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  "nmod": {
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  "xcomp": {
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  "vocative": {
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  "p": 0.0,
@@ -257,24 +257,24 @@
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  "fixed": {
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  "expl": {
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  },
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  "p": 0.0,
@@ -287,32 +287,32 @@
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  }
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- "lemma_acc": 0.9459564165,
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  }
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  },
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- "speed": 4656.9787909711
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  }
 
1
  {
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+ "token_acc": 0.9989350373,
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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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+ "pos_acc": 0.9767058937,
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+ "morph_acc": 0.97360647,
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  "morph_per_feat": {
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  },
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  "Tense": {
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  },
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  "VerbForm": {
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  },
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  "Voice": {
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+ "p": 0.9902985075,
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  },
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  "Definite": {
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  "r": 0.9727380482,
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  "Gender": {
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  "PartType": {
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  "p": 1.0,
 
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  "f": 0.9983739837
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  },
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  "Case": {
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  "NumType": {
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  "f": 0.98
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  "Degree": {
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  },
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