AnnemarieWittig
commited on
Commit
•
30a7165
1
Parent(s):
90b3ad9
Upload model trained with the spacy library to recognize addresses; base model is bert based
Browse files- .gitattributes +1 -0
- config.cfg +192 -0
- meta.json +199 -0
- ner/cfg +13 -0
- ner/model +0 -0
- ner/moves +1 -0
- parser/cfg +13 -0
- parser/model +0 -0
- parser/moves +2 -0
- tagger/cfg +55 -0
- tagger/model +0 -0
- tokenizer +3 -0
- transformer/cfg +3 -0
- transformer/model +3 -0
- vocab/key2row +1 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +0 -0
- vocab/vectors +0 -0
- vocab/vectors.cfg +3 -0
.gitattributes
CHANGED
@@ -32,3 +32,4 @@ 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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*.zst 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
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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transformer/model filter=lfs diff=lfs merge=lfs -text
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config.cfg
ADDED
@@ -0,0 +1,192 @@
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[paths]
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2 |
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train = "./spacy_address_model/corpus/spacy-docbins/train.spacy"
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dev = "./spacy_address_model/corpus/spacy-docbins/test.spacy"
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vectors = null
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init_tok2vec = null
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[system]
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gpu_allocator = "pytorch"
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seed = 0
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[nlp]
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lang = "en"
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pipeline = ["transformer","tagger","parser","ner"]
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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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[components]
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[components.ner]
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factory = "ner"
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incorrect_spans_key = null
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moves = null
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scorer = {"@scorers":"spacy.ner_scorer.v1"}
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update_with_oracle_cut_size = 100
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[components.ner.model]
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@architectures = "spacy.TransitionBasedParser.v2"
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state_type = "ner"
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extra_state_tokens = false
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hidden_width = 64
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maxout_pieces = 2
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use_upper = false
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nO = null
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[components.ner.model.tok2vec]
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@architectures = "spacy-transformers.TransformerListener.v1"
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grad_factor = 1.0
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upstream = "transformer"
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pooling = {"@layers":"reduce_mean.v1"}
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[components.parser]
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factory = "parser"
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learn_tokens = false
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min_action_freq = 30
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moves = null
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scorer = {"@scorers":"spacy.parser_scorer.v1"}
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update_with_oracle_cut_size = 100
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[components.parser.model]
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@architectures = "spacy.TransitionBasedParser.v2"
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state_type = "parser"
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extra_state_tokens = false
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hidden_width = 64
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maxout_pieces = 2
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use_upper = false
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nO = null
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[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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upstream = "transformer"
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pooling = {"@layers":"reduce_mean.v1"}
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[components.tagger]
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factory = "tagger"
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neg_prefix = "!"
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overwrite = false
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scorer = {"@scorers":"spacy.tagger_scorer.v1"}
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[components.tagger.model]
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@architectures = "spacy.Tagger.v2"
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nO = null
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normalize = false
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[components.tagger.model.tok2vec]
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@architectures = "spacy-transformers.TransformerListener.v1"
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grad_factor = 1.0
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upstream = "transformer"
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pooling = {"@layers":"reduce_mean.v1"}
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[components.transformer]
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factory = "transformer"
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max_batch_items = 4096
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set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
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[components.transformer.model]
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@architectures = "spacy-transformers.TransformerModel.v3"
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name = "roberta-base"
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mixed_precision = false
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[components.transformer.model.get_spans]
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@span_getters = "spacy-transformers.strided_spans.v1"
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window = 128
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stride = 96
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[components.transformer.model.grad_scaler_config]
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[components.transformer.model.tokenizer_config]
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use_fast = true
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[components.transformer.model.transformer_config]
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[corpora]
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[corpora.dev]
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@readers = "spacy.Corpus.v1"
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path = ${paths.dev}
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max_length = 0
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gold_preproc = false
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limit = 0
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augmenter = null
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[corpora.train]
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@readers = "spacy.Corpus.v1"
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path = ${paths.train}
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max_length = 0
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gold_preproc = false
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limit = 0
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augmenter = null
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[training]
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accumulate_gradient = 3
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dev_corpus = "corpora.dev"
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train_corpus = "corpora.train"
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seed = ${system.seed}
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gpu_allocator = ${system.gpu_allocator}
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dropout = 0.1
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patience = 1600
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max_epochs = 0
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max_steps = 2000
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eval_frequency = 200
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frozen_components = []
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annotating_components = []
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before_to_disk = null
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[training.batcher]
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@batchers = "spacy.batch_by_padded.v1"
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142 |
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discard_oversize = true
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143 |
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size = 2000
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buffer = 256
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145 |
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get_length = null
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146 |
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147 |
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[training.logger]
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148 |
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@loggers = "spacy.ConsoleLogger.v1"
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149 |
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progress_bar = false
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150 |
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151 |
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[training.optimizer]
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152 |
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@optimizers = "Adam.v1"
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153 |
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beta1 = 0.9
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154 |
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beta2 = 0.999
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155 |
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L2_is_weight_decay = true
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156 |
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L2 = 0.01
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157 |
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grad_clip = 1.0
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158 |
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use_averages = false
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159 |
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eps = 0.00000001
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160 |
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161 |
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[training.optimizer.learn_rate]
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162 |
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@schedules = "warmup_linear.v1"
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warmup_steps = 250
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164 |
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total_steps = 20000
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165 |
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initial_rate = 0.00005
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166 |
+
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167 |
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[training.score_weights]
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168 |
+
tag_acc = 0.33
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169 |
+
dep_uas = 0.17
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170 |
+
dep_las = 0.17
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171 |
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dep_las_per_type = null
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172 |
+
sents_p = null
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173 |
+
sents_r = null
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174 |
+
sents_f = 0.0
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175 |
+
ents_f = 0.33
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176 |
+
ents_p = 0.0
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177 |
+
ents_r = 0.0
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178 |
+
ents_per_type = null
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179 |
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180 |
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[pretraining]
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181 |
+
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182 |
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[initialize]
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183 |
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vectors = ${paths.vectors}
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184 |
+
init_tok2vec = ${paths.init_tok2vec}
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185 |
+
vocab_data = null
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186 |
+
lookups = null
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187 |
+
before_init = null
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188 |
+
after_init = null
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189 |
+
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190 |
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[initialize.components]
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191 |
+
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[initialize.tokenizer]
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meta.json
ADDED
@@ -0,0 +1,199 @@
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{
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"lang":"en",
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"name":"pipeline",
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4 |
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"version":"0.0.0",
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5 |
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"spacy_version":">=3.4.1,<3.5.0",
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6 |
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"description":"",
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7 |
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"author":"",
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8 |
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"email":"",
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9 |
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"url":"",
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10 |
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"license":"",
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11 |
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"spacy_git_version":"Unknown",
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12 |
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"vectors":{
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13 |
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"width":0,
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14 |
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"vectors":0,
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15 |
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"keys":0,
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16 |
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"name":null,
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17 |
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"mode":"default"
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},
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19 |
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"labels":{
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20 |
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"transformer":[
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21 |
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],
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23 |
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"tagger":[
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24 |
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"$",
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25 |
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"''",
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26 |
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",",
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27 |
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"-LRB-",
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28 |
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"-RRB-",
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29 |
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".",
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30 |
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":",
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31 |
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"ADD",
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32 |
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"AFX",
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33 |
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"CC",
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34 |
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"CD",
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35 |
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"DT",
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36 |
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"EX",
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37 |
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"FW",
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38 |
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"HYPH",
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39 |
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"IN",
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40 |
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"JJ",
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41 |
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"JJR",
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42 |
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"JJS",
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43 |
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"LS",
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44 |
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"MD",
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45 |
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"NFP",
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46 |
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"NN",
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47 |
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"NNP",
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48 |
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"NNPS",
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49 |
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"NNS",
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50 |
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"PDT",
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51 |
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"POS",
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52 |
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"PRP",
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53 |
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"PRP$",
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54 |
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"RB",
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55 |
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"RBR",
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56 |
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"RBS",
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57 |
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"RP",
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58 |
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"SYM",
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59 |
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"TO",
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60 |
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"UH",
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61 |
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"VB",
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62 |
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"VBD",
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63 |
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"VBG",
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64 |
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"VBN",
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65 |
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"VBP",
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66 |
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"VBZ",
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67 |
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"WDT",
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68 |
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"WP",
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69 |
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"WP$",
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70 |
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"WRB",
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71 |
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"XX",
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72 |
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"``"
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73 |
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],
|
74 |
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"parser":[
|
75 |
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"ROOT",
|
76 |
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"acl",
|
77 |
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"acomp",
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78 |
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"advcl",
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79 |
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"advmod",
|
80 |
+
"agent",
|
81 |
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"amod",
|
82 |
+
"appos",
|
83 |
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"attr",
|
84 |
+
"aux",
|
85 |
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"auxpass",
|
86 |
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"case",
|
87 |
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"cc",
|
88 |
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"ccomp",
|
89 |
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"compound",
|
90 |
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"conj",
|
91 |
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"csubj",
|
92 |
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"csubjpass",
|
93 |
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"dative",
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94 |
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"dep",
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95 |
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"det",
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96 |
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"dobj",
|
97 |
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"expl",
|
98 |
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"intj",
|
99 |
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"mark",
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100 |
+
"meta",
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101 |
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"neg",
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102 |
+
"nmod",
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103 |
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"npadvmod",
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104 |
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"nsubj",
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105 |
+
"nsubjpass",
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106 |
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"nummod",
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107 |
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"oprd",
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108 |
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"parataxis",
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109 |
+
"pcomp",
|
110 |
+
"pobj",
|
111 |
+
"poss",
|
112 |
+
"preconj",
|
113 |
+
"predet",
|
114 |
+
"prep",
|
115 |
+
"prt",
|
116 |
+
"punct",
|
117 |
+
"quantmod",
|
118 |
+
"relcl",
|
119 |
+
"xcomp"
|
120 |
+
],
|
121 |
+
"ner":[
|
122 |
+
"CARDINAL",
|
123 |
+
"CITY",
|
124 |
+
"DATE",
|
125 |
+
"EVENT",
|
126 |
+
"FAC",
|
127 |
+
"GPE",
|
128 |
+
"HOUSE_NR",
|
129 |
+
"LANGUAGE",
|
130 |
+
"LAW",
|
131 |
+
"LOC",
|
132 |
+
"MONEY",
|
133 |
+
"NORP",
|
134 |
+
"ORDINAL",
|
135 |
+
"ORG",
|
136 |
+
"PERCENT",
|
137 |
+
"PERSON",
|
138 |
+
"POST_CODE",
|
139 |
+
"PRODUCT",
|
140 |
+
"QUANTITY",
|
141 |
+
"STREET",
|
142 |
+
"TIME",
|
143 |
+
"WORK_OF_ART"
|
144 |
+
]
|
145 |
+
},
|
146 |
+
"pipeline":[
|
147 |
+
"transformer",
|
148 |
+
"tagger",
|
149 |
+
"parser",
|
150 |
+
"ner"
|
151 |
+
],
|
152 |
+
"components":[
|
153 |
+
"transformer",
|
154 |
+
"tagger",
|
155 |
+
"parser",
|
156 |
+
"ner"
|
157 |
+
],
|
158 |
+
"disabled":[
|
159 |
+
|
160 |
+
],
|
161 |
+
"performance":{
|
162 |
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|
163 |
+
"dep_uas":0.0,
|
164 |
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|
165 |
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|
166 |
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|
167 |
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|
168 |
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"sents_f":0.0,
|
169 |
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"ents_f":0.977443609,
|
170 |
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"ents_p":0.9701492537,
|
171 |
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"ents_r":0.9848484848,
|
172 |
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"ents_per_type":{
|
173 |
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"STREET":{
|
174 |
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"p":0.9325842697,
|
175 |
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"r":0.9651162791,
|
176 |
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"f":0.9485714286
|
177 |
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},
|
178 |
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"HOUSE_NR":{
|
179 |
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"p":0.9873417722,
|
180 |
+
"r":1.0,
|
181 |
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"f":0.9936305732
|
182 |
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},
|
183 |
+
"POST_CODE":{
|
184 |
+
"p":1.0,
|
185 |
+
"r":1.0,
|
186 |
+
"f":1.0
|
187 |
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},
|
188 |
+
"CITY":{
|
189 |
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"p":0.9642857143,
|
190 |
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"r":0.9759036145,
|
191 |
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"f":0.9700598802
|
192 |
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}
|
193 |
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},
|
194 |
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"transformer_loss":85.5390915703,
|
195 |
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"tagger_loss":0.0,
|
196 |
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"parser_loss":0.0,
|
197 |
+
"ner_loss":927.719011857
|
198 |
+
}
|
199 |
+
}
|
ner/cfg
ADDED
@@ -0,0 +1,13 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"moves":null,
|
3 |
+
"update_with_oracle_cut_size":100,
|
4 |
+
"multitasks":[
|
5 |
+
|
6 |
+
],
|
7 |
+
"min_action_freq":1,
|
8 |
+
"learn_tokens":false,
|
9 |
+
"beam_width":1,
|
10 |
+
"beam_density":0.0,
|
11 |
+
"beam_update_prob":0.0,
|
12 |
+
"incorrect_spans_key":null
|
13 |
+
}
|
ner/model
ADDED
Binary file (339 kB). View file
|
|
ner/moves
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
��moves��{"0":{},"1":{"ORG":56356,"DATE":40381,"PERSON":36475,"GPE":26716,"MONEY":15121,"CARDINAL":14096,"NORP":9638,"PERCENT":9182,"WORK_OF_ART":4475,"LOC":4047,"TIME":3670,"QUANTITY":3114,"FAC":3042,"EVENT":3015,"ORDINAL":2142,"PRODUCT":1782,"LAW":1620,"LANGUAGE":355,"POST_CODE":-1,"HOUSE_NR":-2,"STREET":-3,"CITY":-4},"2":{"ORG":56356,"DATE":40381,"PERSON":36475,"GPE":26716,"MONEY":15121,"CARDINAL":14096,"NORP":9638,"PERCENT":9182,"WORK_OF_ART":4475,"LOC":4047,"TIME":3670,"QUANTITY":3114,"FAC":3042,"EVENT":3015,"ORDINAL":2142,"PRODUCT":1782,"LAW":1620,"LANGUAGE":355,"POST_CODE":-1,"HOUSE_NR":-2,"STREET":-3,"CITY":-4},"3":{"ORG":56356,"DATE":40381,"PERSON":36475,"GPE":26716,"MONEY":15121,"CARDINAL":14096,"NORP":9638,"PERCENT":9182,"WORK_OF_ART":4475,"LOC":4047,"TIME":3670,"QUANTITY":3114,"FAC":3042,"EVENT":3015,"ORDINAL":2142,"PRODUCT":1782,"LAW":1620,"LANGUAGE":355,"POST_CODE":-1,"HOUSE_NR":-2,"STREET":-3,"CITY":-4},"4":{"ORG":56356,"DATE":40381,"PERSON":36475,"GPE":26716,"MONEY":15121,"CARDINAL":14096,"NORP":9638,"PERCENT":9182,"WORK_OF_ART":4475,"LOC":4047,"TIME":3670,"QUANTITY":3114,"FAC":3042,"EVENT":3015,"ORDINAL":2142,"PRODUCT":1782,"LAW":1620,"LANGUAGE":355,"":1,"POST_CODE":-1,"HOUSE_NR":-2,"STREET":-3,"CITY":-4},"5":{"":1}}�cfg��neg_key�
|
parser/cfg
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"moves":null,
|
3 |
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"update_with_oracle_cut_size":100,
|
4 |
+
"multitasks":[
|
5 |
+
|
6 |
+
],
|
7 |
+
"min_action_freq":30,
|
8 |
+
"learn_tokens":false,
|
9 |
+
"beam_width":1,
|
10 |
+
"beam_density":0.0,
|
11 |
+
"beam_update_prob":0.0,
|
12 |
+
"incorrect_spans_key":null
|
13 |
+
}
|
parser/model
ADDED
Binary file (640 kB). View file
|
|
parser/moves
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
��moves�
|
2 |
+
{"0":{"":994267},"1":{"":990803},"2":{"det":172595,"nsubj":165748,"compound":116623,"amod":105184,"aux":86667,"punct":65478,"advmod":62763,"poss":36443,"mark":27941,"nummod":22598,"auxpass":15594,"prep":14001,"nsubjpass":13856,"neg":12357,"cc":10739,"nmod":9562,"advcl":9062,"npadvmod":8168,"quantmod":7101,"intj":6464,"ccomp":5896,"dobj":3427,"expl":3360,"dep":2806,"predet":1944,"parataxis":1837,"csubj":1428,"preconj":621,"pobj||prep":616,"attr":578,"meta":376,"advmod||conj":368,"dobj||xcomp":352,"acomp":284,"nsubj||ccomp":224,"dative":206,"advmod||xcomp":149,"dobj||ccomp":70,"csubjpass":64,"dobj||conj":62,"prep||conj":51,"acl":48,"prep||nsubj":41,"prep||dobj":36,"xcomp":34,"advmod||ccomp":32,"oprd":31},"3":{"punct":183790,"pobj":182191,"prep":174008,"dobj":89615,"conj":59687,"cc":51930,"ccomp":30385,"advmod":22861,"xcomp":21021,"relcl":20969,"advcl":19828,"attr":17741,"acomp":16922,"appos":15265,"case":13388,"acl":12085,"pcomp":10324,"npadvmod":9796,"prt":8179,"agent":3903,"dative":3866,"nsubj":3470,"neg":2906,"amod":2839,"intj":2819,"nummod":2732,"oprd":2301,"dep":1487,"parataxis":1261,"quantmod":319,"nmod":294,"acl||dobj":200,"prep||dobj":190,"prep||nsubj":162,"acl||nsubj":159,"appos||nsubj":145,"relcl||dobj":134,"relcl||nsubj":111,"aux":103,"expl":96,"meta":92,"appos||dobj":86,"preconj":71,"csubj":65,"prep||nsubjpass":55,"prep||advmod":54,"prep||acomp":53,"det":51,"nsubjpass":45,"relcl||pobj":42,"acl||nsubjpass":42,"mark":40,"auxpass":39,"prep||pobj":36,"relcl||nsubjpass":32,"appos||nsubjpass":31},"4":{"ROOT":111664}}�cfg��neg_key�
|
tagger/cfg
ADDED
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"labels":[
|
3 |
+
"$",
|
4 |
+
"''",
|
5 |
+
",",
|
6 |
+
"-LRB-",
|
7 |
+
"-RRB-",
|
8 |
+
".",
|
9 |
+
":",
|
10 |
+
"ADD",
|
11 |
+
"AFX",
|
12 |
+
"CC",
|
13 |
+
"CD",
|
14 |
+
"DT",
|
15 |
+
"EX",
|
16 |
+
"FW",
|
17 |
+
"HYPH",
|
18 |
+
"IN",
|
19 |
+
"JJ",
|
20 |
+
"JJR",
|
21 |
+
"JJS",
|
22 |
+
"LS",
|
23 |
+
"MD",
|
24 |
+
"NFP",
|
25 |
+
"NN",
|
26 |
+
"NNP",
|
27 |
+
"NNPS",
|
28 |
+
"NNS",
|
29 |
+
"PDT",
|
30 |
+
"POS",
|
31 |
+
"PRP",
|
32 |
+
"PRP$",
|
33 |
+
"RB",
|
34 |
+
"RBR",
|
35 |
+
"RBS",
|
36 |
+
"RP",
|
37 |
+
"SYM",
|
38 |
+
"TO",
|
39 |
+
"UH",
|
40 |
+
"VB",
|
41 |
+
"VBD",
|
42 |
+
"VBG",
|
43 |
+
"VBN",
|
44 |
+
"VBP",
|
45 |
+
"VBZ",
|
46 |
+
"WDT",
|
47 |
+
"WP",
|
48 |
+
"WP$",
|
49 |
+
"WRB",
|
50 |
+
"XX",
|
51 |
+
"``"
|
52 |
+
],
|
53 |
+
"neg_prefix":"!",
|
54 |
+
"overwrite":false
|
55 |
+
}
|
tagger/model
ADDED
Binary file (151 kB). View file
|
|
tokenizer
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
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