adrianeboyd commited on
Commit
8669256
β€’
1 Parent(s): 5895e3a

Update spaCy pipeline

Browse files
README.md CHANGED
@@ -14,41 +14,41 @@ model-index:
14
  metrics:
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  - name: NER Precision
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  type: precision
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- value: 0.6807715613
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  - name: NER Recall
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  type: recall
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- value: 0.7407692308
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  - name: NER F Score
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  type: f_score
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- value: 0.7095042627
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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: 0.9237103231
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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: 0.7641386414
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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: 0.724427042
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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: 0.6377692376
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  ---
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  ### Details: https://spacy.io/models/zh#zh_core_web_trf
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@@ -57,8 +57,8 @@ Chinese transformer pipeline (bert-base-chinese). Components: transformer, tagge
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `zh_core_web_trf` |
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- | **Version** | `3.4.0` |
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- | **spaCy** | `>=3.4.0,<3.5.0` |
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  | **Default Pipeline** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `ner` |
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  | **Components** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `ner` |
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  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -84,16 +84,16 @@ Chinese transformer pipeline (bert-base-chinese). Components: transformer, tagge
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  | Type | Score |
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  | --- | --- |
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- | `TOKEN_ACC` | 97.88 |
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  | `TOKEN_P` | 94.58 |
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  | `TOKEN_R` | 91.36 |
90
  | `TOKEN_F` | 92.94 |
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- | `TAG_ACC` | 92.37 |
92
- | `SENTS_P` | 68.85 |
93
- | `SENTS_R` | 59.40 |
94
- | `SENTS_F` | 63.78 |
95
- | `DEP_UAS` | 76.41 |
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- | `DEP_LAS` | 72.44 |
97
- | `ENTS_P` | 68.08 |
98
- | `ENTS_R` | 74.08 |
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- | `ENTS_F` | 70.95 |
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.7520241822
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.7654945055
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.7586995589
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
+ value: 0.9248006527
31
  - task:
32
  name: UNLABELED_DEPENDENCIES
33
  type: token-classification
34
  metrics:
35
  - name: Unlabeled Attachment Score (UAS)
36
  type: f_score
37
+ value: 0.7685010735
38
  - task:
39
  name: LABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Labeled Attachment Score (LAS)
43
  type: f_score
44
+ value: 0.7299421915
45
  - task:
46
  name: SENTS
47
  type: token-classification
48
  metrics:
49
  - name: Sentences F-Score
50
  type: f_score
51
+ value: 0.6831175602
52
  ---
53
  ### Details: https://spacy.io/models/zh#zh_core_web_trf
54
 
 
57
  | Feature | Description |
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  | --- | --- |
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  | **Name** | `zh_core_web_trf` |
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+ | **Version** | `3.5.0` |
61
+ | **spaCy** | `>=3.5.0,<3.6.0` |
62
  | **Default Pipeline** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `ner` |
63
  | **Components** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `ner` |
64
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 
84
 
85
  | Type | Score |
86
  | --- | --- |
87
+ | `TOKEN_ACC` | 95.85 |
88
  | `TOKEN_P` | 94.58 |
89
  | `TOKEN_R` | 91.36 |
90
  | `TOKEN_F` | 92.94 |
91
+ | `TAG_ACC` | 92.48 |
92
+ | `SENTS_P` | 71.45 |
93
+ | `SENTS_R` | 65.44 |
94
+ | `SENTS_F` | 68.31 |
95
+ | `DEP_UAS` | 76.85 |
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+ | `DEP_LAS` | 72.99 |
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+ | `ENTS_P` | 75.20 |
98
+ | `ENTS_R` | 76.55 |
99
+ | `ENTS_F` | 75.87 |
accuracy.json CHANGED
@@ -1,214 +1,214 @@
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  {
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- "token_acc": 0.9788303388,
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  "token_p": 0.9458325855,
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  "token_r": 0.9136060443,
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- "sents_r": 0.5939736974,
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- "sents_f": 0.6377692376,
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- "dep_uas": 0.7641386414,
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- "dep_las": 0.724427042,
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  "dep_las_per_type": {
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  "nsubj:xsubj": {
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@@ -216,14 +216,14 @@
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  "f": 0.0
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@@ -231,105 +231,105 @@
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  "f": 0.0
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  "etc": {
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- "speed": 4551.3152436145
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277
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278
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attribute_ruler/patterns CHANGED
Binary files a/attribute_ruler/patterns and b/attribute_ruler/patterns differ
 
config.cfg CHANGED
@@ -144,6 +144,7 @@ eval_frequency = 1000
144
  frozen_components = []
145
  before_to_disk = null
146
  annotating_components = []
 
147
 
148
  [training.batcher]
149
  @batchers = "spacy.batch_by_padded.v1"
 
144
  frozen_components = []
145
  before_to_disk = null
146
  annotating_components = []
147
+ before_update = null
148
 
149
  [training.batcher]
150
  @batchers = "spacy.batch_by_padded.v1"
meta.json CHANGED
@@ -1,14 +1,14 @@
1
  {
2
  "lang":"zh",
3
  "name":"core_web_trf",
4
- "version":"3.4.0",
5
  "description":"Chinese transformer pipeline (bert-base-chinese). Components: transformer, tagger, parser, ner, attribute_ruler.",
6
  "author":"Explosion",
7
  "email":"contact@explosion.ai",
8
  "url":"https://explosion.ai",
9
  "license":"MIT",
10
- "spacy_version":">=3.4.0,<3.5.0",
11
- "spacy_git_version":"dd038b536",
12
  "vectors":{
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  "width":0,
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  "vectors":0,
@@ -146,216 +146,216 @@
146
 
147
  ],
148
  "performance":{
149
- "token_acc":0.9788303388,
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  "token_p":0.9458325855,
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  "token_r":0.9136060443,
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  "token_f":0.9294400505,
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  "nsubj:xsubj":{
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  "p":0.0,
@@ -363,14 +363,14 @@
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@@ -378,107 +378,107 @@
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380
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385
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  "ents_per_type":{
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395
  "GPE":{
396
- "p":0.8069756331,
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398
- "f":0.816139164
 
 
 
 
 
399
  },
400
  "ORDINAL":{
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480
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481
- "speed":4551.3152436145
482
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483
  "sources":[
484
  {
@@ -501,7 +501,7 @@
501
  }
502
  ],
503
  "requirements":[
504
- "spacy-transformers>=1.1.2,<1.2.0",
505
  "spacy-pkuseg>=0.0.27,<0.1.0"
506
  ]
507
  }
 
1
  {
2
  "lang":"zh",
3
  "name":"core_web_trf",
4
+ "version":"3.5.0",
5
  "description":"Chinese transformer pipeline (bert-base-chinese). Components: transformer, tagger, parser, ner, attribute_ruler.",
6
  "author":"Explosion",
7
  "email":"contact@explosion.ai",
8
  "url":"https://explosion.ai",
9
  "license":"MIT",
10
+ "spacy_version":">=3.5.0,<3.6.0",
11
+ "spacy_git_version":"9e0322de1",
12
  "vectors":{
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  "width":0,
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  "vectors":0,
 
146
 
147
  ],
148
  "performance":{
149
+ "token_acc":0.9585384056,
150
  "token_p":0.9458325855,
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  "token_r":0.9136060443,
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+ "tag_acc":0.9248006527,
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