nucci commited on
Commit
9441f36
1 Parent(s): 0121de4

Update spaCy pipeline

Browse files
.gitattributes CHANGED
@@ -25,3 +25,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
26
  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ *.whl filter=lfs diff=lfs merge=lfs -text
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+ *.npz filter=lfs diff=lfs merge=lfs -text
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+ *strings.json filter=lfs diff=lfs merge=lfs -text
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+ vectors filter=lfs diff=lfs merge=lfs -text
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+ model filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ tags:
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+ - spacy
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+ - token-classification
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+ language:
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+ - sv
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+ license: mit
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+ model-index:
9
+ - name: sv_pipeline
10
+ results:
11
+ - task:
12
+ name: POS
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+ type: token-classification
14
+ metrics:
15
+ - name: POS Accuracy
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+ type: accuracy
17
+ value: 0.9818079056
18
+ - task:
19
+ name: SENTER
20
+ type: token-classification
21
+ metrics:
22
+ - name: SENTER Precision
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+ type: precision
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+ value: 0.9212548015
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+ - name: SENTER Recall
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+ type: recall
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+ value: 0.9368489583
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+ - name: SENTER F Score
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+ type: f_score
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+ value: 0.9289864429
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+ - task:
32
+ name: UNLABELED_DEPENDENCIES
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+ type: token-classification
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+ metrics:
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+ - name: Unlabeled Dependencies Accuracy
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+ type: accuracy
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+ value: 0.9198832946
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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 Dependencies Accuracy
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+ type: accuracy
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+ value: 0.9198832946
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+ ---
attribute_ruler/patterns ADDED
Binary file (756 Bytes). View file
 
config.cfg ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
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+ train = "./data/sv_merged-upos-train.spacy"
3
+ dev = "./data/sv_merged-upos-dev.spacy"
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+ vectors = null
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+ init_tok2vec = null
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+
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+ [system]
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+ gpu_allocator = "pytorch"
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+ seed = 0
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+
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+ [nlp]
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+ lang = "sv"
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+ pipeline = ["transformer","tagger","parser","transformer_ner","ner","attribute_ruler","lemmatizer"]
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+ batch_size = 128
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+ disabled = []
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+ before_creation = null
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+ after_creation = null
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+ after_pipeline_creation = null
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+ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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+
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+ [components]
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+
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+ [components.attribute_ruler]
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+ factory = "attribute_ruler"
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+ validate = false
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+
27
+ [components.lemmatizer]
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+ factory = "lemmatizer"
29
+ mode = "lookup"
30
+ model = null
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+ overwrite = false
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+
33
+ [components.ner]
34
+ factory = "ner"
35
+ moves = null
36
+ update_with_oracle_cut_size = 100
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+
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+ [components.ner.model]
39
+ @architectures = "spacy.TransitionBasedParser.v2"
40
+ state_type = "ner"
41
+ extra_state_tokens = false
42
+ hidden_width = 64
43
+ maxout_pieces = 2
44
+ use_upper = false
45
+ nO = null
46
+
47
+ [components.ner.model.tok2vec]
48
+ @architectures = "spacy-transformers.TransformerListener.v1"
49
+ grad_factor = 1.0
50
+ pooling = {"@layers":"reduce_mean.v1"}
51
+ upstream = "*"
52
+
53
+ [components.parser]
54
+ factory = "parser"
55
+ learn_tokens = false
56
+ min_action_freq = 30
57
+ moves = null
58
+ update_with_oracle_cut_size = 100
59
+
60
+ [components.parser.model]
61
+ @architectures = "spacy.TransitionBasedParser.v2"
62
+ state_type = "parser"
63
+ extra_state_tokens = false
64
+ hidden_width = 128
65
+ maxout_pieces = 3
66
+ use_upper = false
67
+ nO = null
68
+
69
+ [components.parser.model.tok2vec]
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+ @architectures = "spacy-transformers.TransformerListener.v1"
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+ grad_factor = 1.0
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+ pooling = {"@layers":"reduce_mean.v1"}
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+ upstream = "*"
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+
75
+ [components.tagger]
76
+ factory = "tagger"
77
+
78
+ [components.tagger.model]
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+ @architectures = "spacy.Tagger.v1"
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+ nO = null
81
+
82
+ [components.tagger.model.tok2vec]
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+ @architectures = "spacy-transformers.TransformerListener.v1"
84
+ grad_factor = 1.0
85
+ pooling = {"@layers":"reduce_mean.v1"}
86
+ upstream = "*"
87
+
88
+ [components.transformer]
89
+ factory = "transformer"
90
+ max_batch_items = 4096
91
+ set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
92
+
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+ [components.transformer.model]
94
+ @architectures = "spacy-transformers.TransformerModel.v1"
95
+ name = "KB/bert-base-swedish-cased"
96
+
97
+ [components.transformer.model.get_spans]
98
+ @span_getters = "spacy-transformers.strided_spans.v1"
99
+ window = 128
100
+ stride = 96
101
+
102
+ [components.transformer.model.tokenizer_config]
103
+ use_fast = true
104
+
105
+ [components.transformer_ner]
106
+ factory = "transformer"
107
+ max_batch_items = 4096
108
+ set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
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+
110
+ [components.transformer_ner.model]
111
+ @architectures = "spacy-transformers.TransformerModel.v1"
112
+ name = "KB/bert-base-swedish-cased"
113
+
114
+ [components.transformer_ner.model.get_spans]
115
+ @span_getters = "spacy-transformers.strided_spans.v1"
116
+ window = 128
117
+ stride = 96
118
+
119
+ [components.transformer_ner.model.tokenizer_config]
120
+ use_fast = true
121
+
122
+ [corpora]
123
+
124
+ [corpora.dev]
125
+ @readers = "spacy.Corpus.v1"
126
+ path = ${paths.dev}
127
+ max_length = 0
128
+ gold_preproc = false
129
+ limit = 0
130
+ augmenter = null
131
+
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+ [corpora.train]
133
+ @readers = "spacy.Corpus.v1"
134
+ path = ${paths.train}
135
+ max_length = 500
136
+ gold_preproc = false
137
+ limit = 0
138
+ augmenter = null
139
+
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+ [training]
141
+ accumulate_gradient = 3
142
+ dev_corpus = "corpora.dev"
143
+ train_corpus = "corpora.train"
144
+ seed = ${system.seed}
145
+ gpu_allocator = ${system.gpu_allocator}
146
+ dropout = 0.1
147
+ patience = 1600
148
+ max_epochs = 0
149
+ max_steps = 20000
150
+ eval_frequency = 200
151
+ frozen_components = []
152
+ before_to_disk = null
153
+
154
+ [training.batcher]
155
+ @batchers = "spacy.batch_by_padded.v1"
156
+ discard_oversize = true
157
+ size = 2000
158
+ buffer = 256
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+ get_length = null
160
+
161
+ [training.logger]
162
+ @loggers = "spacy.ConsoleLogger.v1"
163
+ progress_bar = false
164
+
165
+ [training.optimizer]
166
+ @optimizers = "Adam.v1"
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+ beta1 = 0.9
168
+ beta2 = 0.999
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+ L2_is_weight_decay = true
170
+ L2 = 0.01
171
+ grad_clip = 1.0
172
+ use_averages = false
173
+ eps = 0.00000001
174
+
175
+ [training.optimizer.learn_rate]
176
+ @schedules = "warmup_linear.v1"
177
+ warmup_steps = 250
178
+ total_steps = 20000
179
+ initial_rate = 0.00005
180
+
181
+ [training.score_weights]
182
+ dep_las_per_type = null
183
+ sents_p = null
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+ sents_r = null
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+ ents_per_type = null
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+ tag_acc = 0.25
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+ dep_uas = 0.12
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+ dep_las = 0.12
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+ sents_f = 0.0
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+ ents_f = 0.25
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+ ents_p = 0.0
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+ ents_r = 0.0
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+ lemma_acc = 0.25
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+
195
+ [pretraining]
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+
197
+ [initialize]
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+ vectors = null
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+ init_tok2vec = ${paths.init_tok2vec}
200
+ vocab_data = null
201
+ lookups = null
202
+ before_init = null
203
+ after_init = null
204
+
205
+ [initialize.components]
206
+
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+ [initialize.tokenizer]
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+ {
2
+ "lang":"sv",
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+ "name":"pipeline",
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+ "version":"0.0.0",
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+ "description":"This is a transformer-based pipeline for Swedish, which includes tagger, parser, ner and lemmatizer modules. The model was trained on UD Treebanks and the SUC 3.0 dataset at the National Library of Sweden by KBLab. Warning: the lemmatizer is not based on a statistical model and its performance is a bit erratic, so use at your own risk!",
6
+ "author":"KBLab",
7
+ "email":"elena.fano@kb.se",
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+ "url":"https://kb-labb.github.io/",
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+ "license":"mit",
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+ "spacy_version":">=3.0.6,<3.1.0",
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+ "spacy_git_version":"91a3cab1c",
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+ "vectors":{
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+ "width":0,
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+ "name":null
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+ },
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+ "labels":{
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+ "transformer":[
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+
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+ ],
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+ "tagger":[
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+ "ADJ",
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+ "ADP",
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+ "ADV",
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+ "AUX",
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+ "CCONJ",
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+ "DET",
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+ "INTJ",
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+ "NOUN",
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+ "NUM",
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+ "PART",
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+ "PRON",
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+ "PROPN",
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+ "PUNCT",
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+ "SCONJ",
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+ "SYM",
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+ "VERB",
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+ "X"
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+ ],
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+ "parser":[
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+ "ROOT",
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+ "acl",
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+ "acl:cleft",
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+ "acl:relcl",
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+ "advcl",
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