adrianeboyd commited on
Commit
544c693
1 Parent(s): a6b8354

Update spaCy pipeline

Browse files
README.md CHANGED
@@ -14,62 +14,62 @@ model-index:
14
  metrics:
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  - name: NER Precision
16
  type: precision
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- value: 0.8956672035
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  - name: NER Recall
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  type: recall
20
- value: 0.8974475036
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  - name: NER F Score
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  type: f_score
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- value: 0.8965564698
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  - task:
25
  name: TAG
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  type: token-classification
27
  metrics:
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  - name: TAG (XPOS) Accuracy
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  type: accuracy
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- value: 0.8961656594
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  - task:
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  name: POS
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  type: token-classification
34
  metrics:
35
  - name: POS (UPOS) Accuracy
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  type: accuracy
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- value: 0.9702764292
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  - task:
39
  name: MORPH
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  type: token-classification
41
  metrics:
42
  - name: Morph (UFeats) Accuracy
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  type: accuracy
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- value: 0.9565561995
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  - task:
46
  name: LEMMA
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  type: token-classification
48
  metrics:
49
  - name: Lemma Accuracy
50
  type: accuracy
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- value: 0.9704323709
52
  - task:
53
  name: UNLABELED_DEPENDENCIES
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  type: token-classification
55
  metrics:
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  - name: Unlabeled Attachment Score (UAS)
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  type: f_score
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- value: 0.9010773751
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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: 0.8627722088
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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: 0.9412168385
73
  ---
74
  ### Details: https://spacy.io/models/pt#pt_core_news_md
75
 
@@ -78,8 +78,8 @@ Portuguese pipeline optimized for CPU. Components: tok2vec, morphologizer, parse
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `pt_core_news_md` |
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- | **Version** | `3.4.0` |
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- | **spaCy** | `>=3.4.0,<3.5.0` |
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) |
@@ -109,18 +109,18 @@ Portuguese pipeline optimized for CPU. Components: tok2vec, morphologizer, parse
109
  | `TOKEN_P` | 99.88 |
110
  | `TOKEN_R` | 99.95 |
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  | `TOKEN_F` | 99.92 |
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- | `POS_ACC` | 97.03 |
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- | `MORPH_ACC` | 95.66 |
114
- | `MORPH_MICRO_P` | 97.97 |
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- | `MORPH_MICRO_R` | 97.75 |
116
- | `MORPH_MICRO_F` | 97.86 |
117
- | `SENTS_P` | 92.55 |
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- | `SENTS_R` | 95.75 |
119
- | `SENTS_F` | 94.12 |
120
- | `DEP_UAS` | 90.11 |
121
- | `DEP_LAS` | 86.28 |
122
- | `LEMMA_ACC` | 97.04 |
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  | `TAG_ACC` | 89.62 |
124
- | `ENTS_P` | 89.57 |
125
- | `ENTS_R` | 89.74 |
126
- | `ENTS_F` | 89.66 |
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.8937657035
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.8960699034
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.8949163203
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
+ value: 0.8962306206
31
  - task:
32
  name: POS
33
  type: token-classification
34
  metrics:
35
  - name: POS (UPOS) Accuracy
36
  type: accuracy
37
+ value: 0.9702313141
38
  - task:
39
  name: MORPH
40
  type: token-classification
41
  metrics:
42
  - name: Morph (UFeats) Accuracy
43
  type: accuracy
44
+ value: 0.9534422982
45
  - task:
46
  name: LEMMA
47
  type: token-classification
48
  metrics:
49
  - name: Lemma Accuracy
50
  type: accuracy
51
+ value: 0.9703333168
52
  - task:
53
  name: UNLABELED_DEPENDENCIES
54
  type: token-classification
55
  metrics:
56
  - name: Unlabeled Attachment Score (UAS)
57
  type: f_score
58
+ value: 0.9013711257
59
  - task:
60
  name: LABELED_DEPENDENCIES
61
  type: token-classification
62
  metrics:
63
  - name: Labeled Attachment Score (LAS)
64
  type: f_score
65
+ value: 0.8593155894
66
  - task:
67
  name: SENTS
68
  type: token-classification
69
  metrics:
70
  - name: Sentences F-Score
71
  type: f_score
72
+ value: 0.9457981824
73
  ---
74
  ### Details: https://spacy.io/models/pt#pt_core_news_md
75
 
 
78
  | Feature | Description |
79
  | --- | --- |
80
  | **Name** | `pt_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) |
 
109
  | `TOKEN_P` | 99.88 |
110
  | `TOKEN_R` | 99.95 |
111
  | `TOKEN_F` | 99.92 |
112
+ | `POS_ACC` | 97.02 |
113
+ | `MORPH_ACC` | 95.34 |
114
+ | `MORPH_MICRO_P` | 97.84 |
115
+ | `MORPH_MICRO_R` | 97.51 |
116
+ | `MORPH_MICRO_F` | 97.68 |
117
+ | `SENTS_P` | 93.47 |
118
+ | `SENTS_R` | 95.98 |
119
+ | `SENTS_F` | 94.58 |
120
+ | `DEP_UAS` | 90.14 |
121
+ | `DEP_LAS` | 85.93 |
122
+ | `LEMMA_ACC` | 97.03 |
123
  | `TAG_ACC` | 89.62 |
124
+ | `ENTS_P` | 89.38 |
125
+ | `ENTS_R` | 89.61 |
126
+ | `ENTS_F` | 89.49 |
accuracy.json CHANGED
@@ -3,148 +3,148 @@
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  "token_p": 0.9988117635,
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  "token_r": 0.9995045581,
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  "token_f": 0.9991580407,
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- "pos_acc": 0.9702764292,
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- "morph_acc": 0.9565561995,
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- "morph_micro_p": 0.9796550656,
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- "morph_micro_r": 0.9775350371,
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- "morph_micro_f": 0.9785939031,
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  "morph_per_feat": {
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  "Mood": {
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- "p": 0.9782608696,
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  "r": 0.9794437727,
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- "f": 0.9788519637
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  },
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  "Number": {
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- "f": 0.9902458057
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  },
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  "Person": {
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- "f": 0.977115487
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  },
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  "Tense": {
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- "r": 0.9736842105,
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- "f": 0.9566903685
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  },
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  "VerbForm": {
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- "p": 0.975571316,
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  "Gender": {
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- "r": 0.9575444636,
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- "f": 0.9615901671
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  },
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  "PronType": {
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  "Definite": {
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  },
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  "NumType": {
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- "p": 0.9644012945,
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  },
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  "Voice": {
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  "r": 0.9302325581,
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  "Polarity": {
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  "Case": {
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  }
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  },
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- "sents_p": 0.9255220912,
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- "sents_r": 0.9574530624,
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- "sents_f": 0.9412168385,
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- "dep_uas": 0.9010773751,
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- "dep_las": 0.8627722088,
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  "dep_las_per_type": {
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  "root": {
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  "case": {
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  "nmod": {
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  "flat:name": {
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  "advmod": {
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@@ -152,59 +152,64 @@
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  "f": 0.84375
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  "acl:relcl": {
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  "iobj": {
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  "fixed": {
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  "nummod": {
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- "p": 0.9677419355,
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- "r": 0.9615384615,
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- "f": 0.9646302251
 
 
 
 
 
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  },
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  "aux": {
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- "p": 0.9090909091,
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- "r": 0.9677419355,
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  "csubj": {
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- "p": 0.5,
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  "ccomp": {
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  "orphan": {
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  "p": 0.0,
@@ -218,18 +223,18 @@
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  },
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  "aux:pass": {
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  "p": 1.0,
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- "r": 0.9852941176,
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  "nsubj:pass": {
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  "parataxis": {
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  "list": {
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@@ -237,19 +242,14 @@
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  "f": 0.0
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  "expl": {
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  "compound": {
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- "r": 0.4,
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- },
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  "vocative": {
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  "p": 0.0,
@@ -257,9 +257,9 @@
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  "f": 0.0
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  },
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  "discourse": {
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  "expl:pass": {
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  "p": 0.0,
@@ -272,32 +272,32 @@
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  "f": 0.8571428571
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  }
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  },
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- "lemma_acc": 0.9704323709,
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- "speed": 11566.5552368993
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  }
 
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