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spacy
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zh_core_web_trf

Token Classification
spaCy
Chinese
Eval Results
Model card Files Community
adrianeboyd commited on
Commit
8669256
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1 Parent(s): 5895e3a

Update spaCy pipeline

Browse files
Files changed (11) hide show
  1. README.md +19 -19
  2. accuracy.json +193 -193
  3. attribute_ruler/patterns +0 -0
  4. config.cfg +1 -0
  5. meta.json +197 -197
  6. ner/model +1 -1
  7. parser/model +1 -1
  8. tagger/model +1 -1
  9. transformer/model +2 -2
  10. vocab/strings.json +2 -2
  11. zh_core_web_trf-any-py3-none-any.whl +2 -2
README.md CHANGED
@@ -14,41 +14,41 @@ model-index:
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
- value: 0.6807715613
18
  - name: NER Recall
19
  type: recall
20
- value: 0.7407692308
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.7095042627
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
- value: 0.9237103231
31
  - task:
32
  name: UNLABELED_DEPENDENCIES
33
  type: token-classification
34
  metrics:
35
  - name: Unlabeled Attachment Score (UAS)
36
  type: f_score
37
- value: 0.7641386414
38
  - task:
39
  name: LABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Labeled Attachment Score (LAS)
43
  type: f_score
44
- value: 0.724427042
45
  - task:
46
  name: SENTS
47
  type: token-classification
48
  metrics:
49
  - name: Sentences F-Score
50
  type: f_score
51
- value: 0.6377692376
52
  ---
53
  ### Details: https://spacy.io/models/zh#zh_core_web_trf
54
 
@@ -57,8 +57,8 @@ Chinese transformer pipeline (bert-base-chinese). Components: transformer, tagge
57
  | Feature | Description |
58
  | --- | --- |
59
  | **Name** | `zh_core_web_trf` |
60
- | **Version** | `3.4.0` |
61
- | **spaCy** | `>=3.4.0,<3.5.0` |
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) |
@@ -84,16 +84,16 @@ Chinese transformer pipeline (bert-base-chinese). Components: transformer, tagge
84
 
85
  | Type | Score |
86
  | --- | --- |
87
- | `TOKEN_ACC` | 97.88 |
88
  | `TOKEN_P` | 94.58 |
89
  | `TOKEN_R` | 91.36 |
90
  | `TOKEN_F` | 92.94 |
91
- | `TAG_ACC` | 92.37 |
92
- | `SENTS_P` | 68.85 |
93
- | `SENTS_R` | 59.40 |
94
- | `SENTS_F` | 63.78 |
95
- | `DEP_UAS` | 76.41 |
96
- | `DEP_LAS` | 72.44 |
97
- | `ENTS_P` | 68.08 |
98
- | `ENTS_R` | 74.08 |
99
- | `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 |
58
  | --- | --- |
59
  | **Name** | `zh_core_web_trf` |
60
+ | **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 |
96
+ | `DEP_LAS` | 72.99 |
97
+ | `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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- "sents_r": 0.5939736974,
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- "sents_f": 0.6377692376,
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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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- "speed": 4551.3152436145
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  }
 
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  "xcomp": {
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277
  },
278
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331
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  }
333
  },
334
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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":{
13
  "width":0,
14
  "vectors":0,
@@ -146,216 +146,216 @@
146
 
147
  ],
148
  "performance":{
149
- "token_acc":0.9788303388,
150
  "token_p":0.9458325855,
151
  "token_r":0.9136060443,
152
  "token_f":0.9294400505,
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- "tag_acc":0.9237103231,
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159
  "dep_las_per_type":{
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  "dep":{
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- "p":0.9509803922,
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  "nsubj:xsubj":{
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  "p":0.0,
@@ -363,14 +363,14 @@
363
  "f":0.0
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365
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@@ -378,107 +378,107 @@
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380
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381
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384
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385
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386
- "ents_p":0.6807715613,
387
- "ents_r":0.7407692308,
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389
  "ents_per_type":{
390
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- "p":0.7026116259,
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  },
395
  "GPE":{
396
- "p":0.8069756331,
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398
- "f":0.816139164
 
 
 
 
 
399
  },
400
  "ORDINAL":{
401
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403
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405
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410
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425
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426
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430
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445
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465
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470
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471
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475
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477
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478
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480
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481
- "speed":4551.3152436145
482
  },
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
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