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Update spaCy pipeline

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+ # 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)
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+ * Author: Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell; et al.
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+
README.md ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
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
+ - tasks:
11
+ name: SENTER
12
+ type: token-classification
13
+ metrics:
14
+ - name: Precision
15
+ type: precision
16
+ value: 0.9029477287
17
+ - name: Recall
18
+ type: recall
19
+ value: 0.8194977584
20
+ - name: F Score
21
+ type: f_score
22
+ value: 0.8592012289
23
+ ---
24
+ ### Details: https://spacy.io/models/xx#xx_sent_ud_sm
25
+
26
+ Multi-language pipeline optimized for CPU. Components: senter.
27
+
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 |
accuracy.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
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
+ }
config.cfg ADDED
@@ -0,0 +1,135 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
11
+ seed = 0
12
+
13
+ [nlp]
14
+ lang = "xx"
15
+ pipeline = ["senter"]
16
+ disabled = []
17
+ before_creation = null
18
+ after_creation = null
19
+ after_pipeline_creation = null
20
+ batch_size = 256
21
+ 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"
34
+
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]
43
+ @architectures = "spacy.MaxoutWindowEncoder.v2"
44
+ width = 16
45
+ depth = 2
46
+ window_size = 1
47
+ maxout_pieces = 2
48
+
49
+ [corpora]
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"
72
+ dev_corpus = "corpora.dev"
73
+ 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
83
+ annotating_components = []
84
+
85
+ [training.batcher]
86
+ @batchers = "spacy.batch_by_words.v1"
87
+ discard_oversize = false
88
+ tolerance = 0.2
89
+ get_length = null
90
+
91
+ [training.batcher.size]
92
+ @schedules = "compounding.v1"
93
+ start = 100
94
+ stop = 1000
95
+ 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"
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+ beta1 = 0.9
106
+ beta2 = 0.999
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+ L2_is_weight_decay = true
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+ L2 = 0.01
109
+ grad_clip = 1.0
110
+ use_averages = true
111
+ eps = 0.00000001
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+ learn_rate = 0.001
113
+
114
+ [training.score_weights]
115
+ sents_f = 1.0
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+ sents_p = 0.0
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+ sents_r = 0.0
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+
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
126
+ after_init = null
127
+
128
+ [initialize.components]
129
+
130
+ [initialize.lookups]
131
+ @misc = "spacy.LookupsDataLoader.v1"
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+ lang = ${nlp.lang}
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+ tables = []
134
+
135
+ [initialize.tokenizer]
meta.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "lang":"xx",
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+ "name":"sent_ud_sm",
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+ "version":"3.1.0",
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+ "description":"Multi-language pipeline optimized for CPU. Components: senter.",
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+ "author":"Explosion",
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+ "email":"contact@explosion.ai",
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+ "url":"https://explosion.ai",
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+ "license":"CC BY-SA 3.0",
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+ "spacy_version":">=3.1.0,<3.2.0",
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+ "spacy_git_version":"caba63b74",
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+ "vectors":{
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+ "width":0,
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+ "vectors":0,
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+ "keys":0,
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+ "name":null
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+ },
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+ "labels":{
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+ "senter":[
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+ "I",
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+ "S"
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+ ]
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+ },
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+ "pipeline":[
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+ "senter"
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+ ],
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+ "components":[
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+ "senter"
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+ ],
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+ "disabled":[
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+
32
+ ],
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+ "performance":{
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+ "token_acc":0.9928959078,
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+ "sents_p":0.9029477287,
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+ "sents_r":0.8194977584,
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+ "sents_f":0.8592012289,
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+ "speed":291597.0307804538
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+ },
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+ "sources":[
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+ {
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+ "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/",
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+ "license":"CC BY-SA 3.0",
45
+ "author":"Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell; et al."
46
+ }
47
+ ],
48
+ "requirements":[
49
+
50
+ ]
51
+ }
senter/cfg ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ {
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+
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+ }
senter/model ADDED
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tokenizer ADDED
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