EC2 Default User commited on
Commit
aaf8333
1 Parent(s): 94c0702

Update spaCy pipeline

Browse files
LICENSES_SOURCES CHANGED
@@ -1,4 +1,4 @@
1
- # Universal Dependencies v2.5 (UD_Afrikaans-AfriBooms, UD_Croatian-SET, UD_Czech-CAC, UD_Czech-CLTT, UD_Danish-DDT, UD_Dutch-Alpino, UD_Dutch-LassySmall, UD_English-EWT, UD_Finnish-FTB, UD_Finnish-TDT, UD_French-GSD, UD_French-Spoken, UD_German-GSD, UD_Indonesian-GSD, UD_Irish-IDT, UD_Italian-TWITTIRO, UD_Korean-GSD, UD_Korean-Kaist, UD_Latvian-LVTB, UD_Lithuanian-ALKSNIS, UD_Lithuanian-HSE, UD_Marathi-UFAL, UD_Norwegian-Bokmaal, UD_Norwegian-Nynorsk, UD_Norwegian-NynorskLIA, UD_Persian-Seraji, UD_Portuguese-Bosque, UD_Portuguese-GSD, UD_Romanian-Nonstandard, UD_Romanian-RRT, UD_Russian-GSD, UD_Russian-Taiga, UD_Serbian-SET, UD_Slovak-SNK, UD_Spanish-GSD, UD_Swedish-Talbanken, UD_Telugu-MTG, UD_Vietnamese-VTB)
2
 
3
  * Author: Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell; et al.
4
  * URL: https://universaldependencies.org/
 
1
+ # Universal Dependencies v2.8 (UD_Afrikaans-AfriBooms, UD_Croatian-SET, UD_Czech-CAC, UD_Czech-CLTT, UD_Danish-DDT, UD_Dutch-Alpino, UD_Dutch-LassySmall, UD_English-EWT, UD_Finnish-FTB, UD_Finnish-TDT, UD_French-GSD, UD_French-Spoken, UD_German-GSD, UD_Indonesian-GSD, UD_Irish-IDT, UD_Italian-TWITTIRO, UD_Korean-GSD, UD_Korean-Kaist, UD_Latvian-LVTB, UD_Lithuanian-ALKSNIS, UD_Lithuanian-HSE, UD_Marathi-UFAL, UD_Norwegian-Bokmaal, UD_Norwegian-Nynorsk, UD_Norwegian-NynorskLIA, UD_Persian-Seraji, UD_Portuguese-Bosque, UD_Portuguese-GSD, UD_Romanian-Nonstandard, UD_Romanian-RRT, UD_Russian-GSD, UD_Russian-Taiga, UD_Serbian-SET, UD_Slovak-SNK, UD_Spanish-GSD, UD_Swedish-Talbanken, UD_Telugu-MTG, UD_Vietnamese-VTB)
2
 
3
  * Author: Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell; et al.
4
  * URL: https://universaldependencies.org/
README.md CHANGED
@@ -3,23 +3,17 @@ tags:
3
  - spacy
4
  language:
5
  - multilingual
6
- license: cc-by-sa-4.0
7
  model-index:
8
  - name: xx_sent_ud_sm
9
  results:
10
  - task:
11
- name: SENTER
12
  type: token-classification
13
  metrics:
14
- - name: SENTER Precision
15
- type: precision
16
- value: 0.9029477287
17
- - name: SENTER Recall
18
- type: recall
19
- value: 0.8194977584
20
- - name: SENTER F Score
21
  type: f_score
22
- value: 0.8592012289
23
  ---
24
  ### Details: https://spacy.io/models/xx#xx_sent_ud_sm
25
 
@@ -28,32 +22,27 @@ Multi-language pipeline optimized for CPU. Components: senter.
28
  | Feature | Description |
29
  | --- | --- |
30
  | **Name** | `xx_sent_ud_sm` |
31
- | **Version** | `3.1.0` |
32
- | **spaCy** | `>=3.1.0,<3.2.0` |
33
- | **Default Pipeline** | `senter` |
34
- | **Components** | `senter` |
35
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
36
- | **Sources** | [Universal Dependencies v2.5 (UD_Afrikaans-AfriBooms, UD_Croatian-SET, UD_Czech-CAC, UD_Czech-CLTT, UD_Danish-DDT, UD_Dutch-Alpino, UD_Dutch-LassySmall, UD_English-EWT, UD_Finnish-FTB, UD_Finnish-TDT, UD_French-GSD, UD_French-Spoken, UD_German-GSD, UD_Indonesian-GSD, UD_Irish-IDT, UD_Italian-TWITTIRO, UD_Korean-GSD, UD_Korean-Kaist, UD_Latvian-LVTB, UD_Lithuanian-ALKSNIS, UD_Lithuanian-HSE, UD_Marathi-UFAL, UD_Norwegian-Bokmaal, UD_Norwegian-Nynorsk, UD_Norwegian-NynorskLIA, UD_Persian-Seraji, UD_Portuguese-Bosque, UD_Portuguese-GSD, UD_Romanian-Nonstandard, UD_Romanian-RRT, UD_Russian-GSD, UD_Russian-Taiga, UD_Serbian-SET, UD_Slovak-SNK, UD_Spanish-GSD, UD_Swedish-Talbanken, UD_Telugu-MTG, UD_Vietnamese-VTB)](https://universaldependencies.org/) (Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell; et al.) |
37
  | **License** | `CC BY-SA 3.0` |
38
  | **Author** | [Explosion](https://explosion.ai) |
39
 
40
  ### Label Scheme
41
 
42
- <details>
43
 
44
- <summary>View label scheme (2 labels for 1 components)</summary>
45
-
46
- | Component | Labels |
47
- | --- | --- |
48
- | **`senter`** | `I`, `S` |
49
-
50
- </details>
51
 
52
  ### Accuracy
53
 
54
  | Type | Score |
55
  | --- | --- |
56
  | `TOKEN_ACC` | 99.29 |
57
- | `SENTS_P` | 90.29 |
58
- | `SENTS_R` | 81.95 |
59
- | `SENTS_F` | 85.92 |
 
 
 
 
3
  - spacy
4
  language:
5
  - multilingual
6
+ license: cc-by-sa-3.0
7
  model-index:
8
  - name: xx_sent_ud_sm
9
  results:
10
  - task:
11
+ name: SENTS
12
  type: token-classification
13
  metrics:
14
+ - name: Sentences F-Score
 
 
 
 
 
 
15
  type: f_score
16
+ value: 0.8588287584
17
  ---
18
  ### Details: https://spacy.io/models/xx#xx_sent_ud_sm
19
 
 
22
  | Feature | Description |
23
  | --- | --- |
24
  | **Name** | `xx_sent_ud_sm` |
25
+ | **Version** | `3.3.0` |
26
+ | **spaCy** | `>=3.3.0.dev0,<3.4.0` |
27
+ | **Default Pipeline** | `senter`, `attribute_ruler` |
28
+ | **Components** | `senter`, `attribute_ruler` |
29
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
30
+ | **Sources** | [Universal Dependencies v2.8 (UD_Afrikaans-AfriBooms, UD_Croatian-SET, UD_Czech-CAC, UD_Czech-CLTT, UD_Danish-DDT, UD_Dutch-Alpino, UD_Dutch-LassySmall, UD_English-EWT, UD_Finnish-FTB, UD_Finnish-TDT, UD_French-GSD, UD_French-Spoken, UD_German-GSD, UD_Indonesian-GSD, UD_Irish-IDT, UD_Italian-TWITTIRO, UD_Korean-GSD, UD_Korean-Kaist, UD_Latvian-LVTB, UD_Lithuanian-ALKSNIS, UD_Lithuanian-HSE, UD_Marathi-UFAL, UD_Norwegian-Bokmaal, UD_Norwegian-Nynorsk, UD_Norwegian-NynorskLIA, UD_Persian-Seraji, UD_Portuguese-Bosque, UD_Portuguese-GSD, UD_Romanian-Nonstandard, UD_Romanian-RRT, UD_Russian-GSD, UD_Russian-Taiga, UD_Serbian-SET, UD_Slovak-SNK, UD_Spanish-GSD, UD_Swedish-Talbanken, UD_Telugu-MTG, UD_Vietnamese-VTB)](https://universaldependencies.org/) (Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell; et al.) |
31
  | **License** | `CC BY-SA 3.0` |
32
  | **Author** | [Explosion](https://explosion.ai) |
33
 
34
  ### Label Scheme
35
 
 
36
 
 
 
 
 
 
 
 
37
 
38
  ### Accuracy
39
 
40
  | Type | Score |
41
  | --- | --- |
42
  | `TOKEN_ACC` | 99.29 |
43
+ | `TOKEN_P` | 95.31 |
44
+ | `TOKEN_R` | 95.72 |
45
+ | `TOKEN_F` | 95.52 |
46
+ | `SENTS_P` | 90.62 |
47
+ | `SENTS_R` | 81.62 |
48
+ | `SENTS_F` | 85.88 |
accuracy.json CHANGED
@@ -1,7 +1,10 @@
1
  {
2
- "token_acc": 0.9928959078,
3
- "sents_p": 0.9029477287,
4
- "sents_r": 0.8194977584,
5
- "sents_f": 0.8592012289,
6
- "speed": 291597.0307804538
 
 
 
7
  }
 
1
  {
2
+ "token_acc": 0.9929085533,
3
+ "token_p": 0.9530830451,
4
+ "token_r": 0.9572374635,
5
+ "token_f": 0.955155737,
6
+ "sents_p": 0.906203506,
7
+ "sents_r": 0.8161612631,
8
+ "sents_f": 0.8588287584,
9
+ "speed": 145246.3943469636
10
  }
attribute_ruler/patterns ADDED
Binary file (125 Bytes). View file
 
config.cfg CHANGED
@@ -1,10 +1,8 @@
1
  [paths]
2
- train = "corpus/xx-sent-ud/train.spacy"
3
- dev = "corpus/xx-sent-ud/dev.spacy"
4
  vectors = null
5
- raw = null
6
  init_tok2vec = null
7
- vocab_data = null
8
 
9
  [system]
10
  gpu_allocator = null
@@ -12,7 +10,7 @@ seed = 0
12
 
13
  [nlp]
14
  lang = "xx"
15
- pipeline = ["senter"]
16
  disabled = []
17
  before_creation = null
18
  after_creation = null
@@ -22,12 +20,20 @@ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
22
 
23
  [components]
24
 
 
 
 
 
 
25
  [components.senter]
26
  factory = "senter"
 
 
27
 
28
  [components.senter.model]
29
- @architectures = "spacy.Tagger.v1"
30
  nO = null
 
31
 
32
  [components.senter.model.tok2vec]
33
  @architectures = "spacy.Tok2Vec.v2"
@@ -35,8 +41,8 @@ nO = null
35
  [components.senter.model.tok2vec.embed]
36
  @architectures = "spacy.MultiHashEmbed.v2"
37
  width = ${components.senter.model.tok2vec.encode:width}
38
- attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
39
- rows = [1000,500,500,500]
40
  include_static_vectors = false
41
 
42
  [components.senter.model.tok2vec.encode]
@@ -50,22 +56,19 @@ maxout_pieces = 2
50
 
51
  [corpora.dev]
52
  @readers = "spacy.Corpus.v1"
53
- limit = 0
54
- max_length = 0
55
- path = ${paths:dev}
56
  gold_preproc = false
 
 
57
  augmenter = null
58
 
59
  [corpora.train]
60
  @readers = "spacy.Corpus.v1"
61
- path = ${paths:train}
62
- max_length = 5000
63
  gold_preproc = false
 
64
  limit = 0
65
-
66
- [corpora.train.augmenter]
67
- @augmenters = "spacy.lower_case.v1"
68
- level = 0.1
69
 
70
  [training]
71
  train_corpus = "corpora.train"
@@ -74,9 +77,9 @@ seed = ${system:seed}
74
  gpu_allocator = ${system:gpu_allocator}
75
  dropout = 0.1
76
  accumulate_gradient = 1
77
- patience = 5000
78
  max_epochs = 0
79
- max_steps = 0
80
  eval_frequency = 1000
81
  frozen_components = []
82
  before_to_disk = null
@@ -96,9 +99,8 @@ compound = 1.001
96
  t = 0.0
97
 
98
  [training.logger]
99
- @loggers = "spacy.WandbLogger.v1"
100
- project_name = "spacy-v3.0.0a2"
101
- remove_config_values = []
102
 
103
  [training.optimizer]
104
  @optimizers = "Adam.v1"
@@ -112,14 +114,20 @@ eps = 0.00000001
112
  learn_rate = 0.001
113
 
114
  [training.score_weights]
115
- sents_f = 1.0
116
  sents_p = 0.0
117
  sents_r = 0.0
 
 
 
 
 
 
118
 
119
  [pretraining]
120
 
121
  [initialize]
122
- vocab_data = ${paths.vocab_data}
123
  vectors = ${paths.vectors}
124
  init_tok2vec = ${paths.init_tok2vec}
125
  before_init = null
 
1
  [paths]
2
+ train = null
3
+ dev = null
4
  vectors = null
 
5
  init_tok2vec = null
 
6
 
7
  [system]
8
  gpu_allocator = null
 
10
 
11
  [nlp]
12
  lang = "xx"
13
+ pipeline = ["senter","attribute_ruler"]
14
  disabled = []
15
  before_creation = null
16
  after_creation = null
 
20
 
21
  [components]
22
 
23
+ [components.attribute_ruler]
24
+ factory = "attribute_ruler"
25
+ scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
26
+ validate = false
27
+
28
  [components.senter]
29
  factory = "senter"
30
+ overwrite = false
31
+ scorer = {"@scorers":"spacy.senter_scorer.v1"}
32
 
33
  [components.senter.model]
34
+ @architectures = "spacy.Tagger.v2"
35
  nO = null
36
+ normalize = false
37
 
38
  [components.senter.model.tok2vec]
39
  @architectures = "spacy.Tok2Vec.v2"
 
41
  [components.senter.model.tok2vec.embed]
42
  @architectures = "spacy.MultiHashEmbed.v2"
43
  width = ${components.senter.model.tok2vec.encode:width}
44
+ attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
45
+ rows = [1000,500,500,500,50]
46
  include_static_vectors = false
47
 
48
  [components.senter.model.tok2vec.encode]
 
56
 
57
  [corpora.dev]
58
  @readers = "spacy.Corpus.v1"
59
+ path = ${paths.dev}
 
 
60
  gold_preproc = false
61
+ max_length = 0
62
+ limit = 0
63
  augmenter = null
64
 
65
  [corpora.train]
66
  @readers = "spacy.Corpus.v1"
67
+ path = ${paths.train}
 
68
  gold_preproc = false
69
+ max_length = 0
70
  limit = 0
71
+ augmenter = null
 
 
 
72
 
73
  [training]
74
  train_corpus = "corpora.train"
 
77
  gpu_allocator = ${system:gpu_allocator}
78
  dropout = 0.1
79
  accumulate_gradient = 1
80
+ patience = 10000
81
  max_epochs = 0
82
+ max_steps = 100000
83
  eval_frequency = 1000
84
  frozen_components = []
85
  before_to_disk = null
 
99
  t = 0.0
100
 
101
  [training.logger]
102
+ @loggers = "spacy.ConsoleLogger.v1"
103
+ progress_bar = false
 
104
 
105
  [training.optimizer]
106
  @optimizers = "Adam.v1"
 
114
  learn_rate = 0.001
115
 
116
  [training.score_weights]
117
+ sents_f = 0.06
118
  sents_p = 0.0
119
  sents_r = 0.0
120
+ dep_uas = 0.0
121
+ dep_las = 0.47
122
+ ents_f = 0.47
123
+ ents_p = 0.0
124
+ ents_r = 0.0
125
+ speed = 0.0
126
 
127
  [pretraining]
128
 
129
  [initialize]
130
+ vocab_data = null
131
  vectors = ${paths.vectors}
132
  init_tok2vec = ${paths.init_tok2vec}
133
  before_init = null
meta.json CHANGED
@@ -1,14 +1,14 @@
1
  {
2
  "lang":"xx",
3
  "name":"sent_ud_sm",
4
- "version":"3.1.0",
5
  "description":"Multi-language pipeline optimized for CPU. Components: senter.",
6
  "author":"Explosion",
7
  "email":"contact@explosion.ai",
8
  "url":"https://explosion.ai",
9
  "license":"CC BY-SA 3.0",
10
- "spacy_version":">=3.1.0,<3.2.0",
11
- "spacy_git_version":"caba63b74",
12
  "vectors":{
13
  "width":0,
14
  "vectors":0,
@@ -16,30 +16,34 @@
16
  "name":null
17
  },
18
  "labels":{
19
- "senter":[
20
- "I",
21
- "S"
22
  ]
23
  },
24
  "pipeline":[
25
- "senter"
 
26
  ],
27
  "components":[
28
- "senter"
 
29
  ],
30
  "disabled":[
31
 
32
  ],
33
  "performance":{
34
- "token_acc":0.9928959078,
35
- "sents_p":0.9029477287,
36
- "sents_r":0.8194977584,
37
- "sents_f":0.8592012289,
38
- "speed":291597.0307804538
 
 
 
39
  },
40
  "sources":[
41
  {
42
- "name":"Universal Dependencies v2.5 (UD_Afrikaans-AfriBooms, UD_Croatian-SET, UD_Czech-CAC, UD_Czech-CLTT, UD_Danish-DDT, UD_Dutch-Alpino, UD_Dutch-LassySmall, UD_English-EWT, UD_Finnish-FTB, UD_Finnish-TDT, UD_French-GSD, UD_French-Spoken, UD_German-GSD, UD_Indonesian-GSD, UD_Irish-IDT, UD_Italian-TWITTIRO, UD_Korean-GSD, UD_Korean-Kaist, UD_Latvian-LVTB, UD_Lithuanian-ALKSNIS, UD_Lithuanian-HSE, UD_Marathi-UFAL, UD_Norwegian-Bokmaal, UD_Norwegian-Nynorsk, UD_Norwegian-NynorskLIA, UD_Persian-Seraji, UD_Portuguese-Bosque, UD_Portuguese-GSD, UD_Romanian-Nonstandard, UD_Romanian-RRT, UD_Russian-GSD, UD_Russian-Taiga, UD_Serbian-SET, UD_Slovak-SNK, UD_Spanish-GSD, UD_Swedish-Talbanken, UD_Telugu-MTG, UD_Vietnamese-VTB)",
43
  "url":"https://universaldependencies.org/",
44
  "license":"CC BY-SA 3.0",
45
  "author":"Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell; et al."
 
1
  {
2
  "lang":"xx",
3
  "name":"sent_ud_sm",
4
+ "version":"3.3.0",
5
  "description":"Multi-language pipeline optimized for CPU. Components: senter.",
6
  "author":"Explosion",
7
  "email":"contact@explosion.ai",
8
  "url":"https://explosion.ai",
9
  "license":"CC BY-SA 3.0",
10
+ "spacy_version":">=3.3.0.dev0,<3.4.0",
11
+ "spacy_git_version":"849bef2de",
12
  "vectors":{
13
  "width":0,
14
  "vectors":0,
 
16
  "name":null
17
  },
18
  "labels":{
19
+ "attribute_ruler":[
20
+
 
21
  ]
22
  },
23
  "pipeline":[
24
+ "senter",
25
+ "attribute_ruler"
26
  ],
27
  "components":[
28
+ "senter",
29
+ "attribute_ruler"
30
  ],
31
  "disabled":[
32
 
33
  ],
34
  "performance":{
35
+ "token_acc":0.9929085533,
36
+ "token_p":0.9530830451,
37
+ "token_r":0.9572374635,
38
+ "token_f":0.955155737,
39
+ "sents_p":0.906203506,
40
+ "sents_r":0.8161612631,
41
+ "sents_f":0.8588287584,
42
+ "speed":145246.3943469636
43
  },
44
  "sources":[
45
  {
46
+ "name":"Universal Dependencies v2.8 (UD_Afrikaans-AfriBooms, UD_Croatian-SET, UD_Czech-CAC, UD_Czech-CLTT, UD_Danish-DDT, UD_Dutch-Alpino, UD_Dutch-LassySmall, UD_English-EWT, UD_Finnish-FTB, UD_Finnish-TDT, UD_French-GSD, UD_French-Spoken, UD_German-GSD, UD_Indonesian-GSD, UD_Irish-IDT, UD_Italian-TWITTIRO, UD_Korean-GSD, UD_Korean-Kaist, UD_Latvian-LVTB, UD_Lithuanian-ALKSNIS, UD_Lithuanian-HSE, UD_Marathi-UFAL, UD_Norwegian-Bokmaal, UD_Norwegian-Nynorsk, UD_Norwegian-NynorskLIA, UD_Persian-Seraji, UD_Portuguese-Bosque, UD_Portuguese-GSD, UD_Romanian-Nonstandard, UD_Romanian-RRT, UD_Russian-GSD, UD_Russian-Taiga, UD_Serbian-SET, UD_Slovak-SNK, UD_Spanish-GSD, UD_Swedish-Talbanken, UD_Telugu-MTG, UD_Vietnamese-VTB)",
47
  "url":"https://universaldependencies.org/",
48
  "license":"CC BY-SA 3.0",
49
  "author":"Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell; et al."
senter/cfg CHANGED
@@ -1,3 +1,3 @@
1
  {
2
-
3
  }
 
1
  {
2
+ "overwrite":false
3
  }
senter/model CHANGED
Binary files a/senter/model and b/senter/model differ
 
tokenizer CHANGED
@@ -1,3 +1,3 @@
1
- ��prefix_search� 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