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
Files changed (19) hide show
  1. .gitattributes +1 -0
  2. config.cfg +192 -0
  3. meta.json +199 -0
  4. ner/cfg +13 -0
  5. ner/model +0 -0
  6. ner/moves +1 -0
  7. parser/cfg +13 -0
  8. parser/model +0 -0
  9. parser/moves +2 -0
  10. tagger/cfg +55 -0
  11. tagger/model +0 -0
  12. tokenizer +3 -0
  13. transformer/cfg +3 -0
  14. transformer/model +3 -0
  15. vocab/key2row +1 -0
  16. vocab/lookups.bin +3 -0
  17. vocab/strings.json +0 -0
  18. vocab/vectors +0 -0
  19. 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
config.cfg ADDED
@@ -0,0 +1,192 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
2
+ 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
5
+ init_tok2vec = null
6
+
7
+ [system]
8
+ gpu_allocator = "pytorch"
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+ seed = 0
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+
11
+ [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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+
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+ [components]
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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+ [components.transformer.model.grad_scaler_config]
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+
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+ [components.transformer.model.tokenizer_config]
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+ use_fast = true
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+
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+ [components.transformer.model.transformer_config]
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+
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+ [corpora]
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+
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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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+
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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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+
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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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+
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+ [training.batcher]
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+ @batchers = "spacy.batch_by_padded.v1"
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+ discard_oversize = true
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+ size = 2000
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+ buffer = 256
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+ get_length = null
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+
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+ [training.logger]
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+ @loggers = "spacy.ConsoleLogger.v1"
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+ progress_bar = false
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+
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+ [training.optimizer]
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+ @optimizers = "Adam.v1"
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+ beta1 = 0.9
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+ beta2 = 0.999
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+ L2_is_weight_decay = true
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+ L2 = 0.01
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+ grad_clip = 1.0
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+ use_averages = false
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+ eps = 0.00000001
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+
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+ [training.optimizer.learn_rate]
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+ @schedules = "warmup_linear.v1"
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+ warmup_steps = 250
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+ total_steps = 20000
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+ initial_rate = 0.00005
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+
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+ [training.score_weights]
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+ tag_acc = 0.33
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+ dep_uas = 0.17
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+ dep_las = 0.17
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+ dep_las_per_type = null
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+ sents_p = null
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+ sents_r = null
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+ sents_f = 0.0
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+ ents_f = 0.33
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+ ents_p = 0.0
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+ ents_r = 0.0
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+ ents_per_type = null
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+
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+ [pretraining]
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+
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+ [initialize]
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+ vectors = ${paths.vectors}
184
+ init_tok2vec = ${paths.init_tok2vec}
185
+ vocab_data = null
186
+ lookups = null
187
+ before_init = null
188
+ after_init = null
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+
190
+ [initialize.components]
191
+
192
+ [initialize.tokenizer]
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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+ "version":"0.0.0",
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+ "spacy_version":">=3.4.1,<3.5.0",
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+ "description":"",
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+ "author":"",
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+ "email":"",
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+ "url":"",
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+ "license":"",
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+ "spacy_git_version":"Unknown",
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+ "vectors":{
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+ "vectors":0,
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+ "keys":0,
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+ "name":null,
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+ "mode":"default"
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+ "labels":{
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+ "tagger":[
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+ "''",
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+ ",",
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+ "-LRB-",
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+ "-RRB-",
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+ ".",
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+ ":",
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+ "ADD",
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+ "AFX",
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+ "CC",
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+ "CD",
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+ "DT",
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+ "EX",
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+ "FW",
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+ "HYPH",
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+ "IN",
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+ "JJ",
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+ "JJR",
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+ "JJS",
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+ "LS",
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+ "MD",
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+ "NFP",
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+ "NN",
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+ "NNP",
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+ "NNPS",
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+ "NNS",
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+ "PDT",
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+ "POS",
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+ "PRP",
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+ "PRP$",
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+ "RB",
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+ "RBR",
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+ "RBS",
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+ "RP",
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+ "SYM",
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+ "TO",
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+ "UH",
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+ "VB",
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+ "VBD",
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+ "VBG",
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+ "VBN",
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+ "VBP",
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+ "VBZ",
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+ "WDT",
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+ "WP",
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+ "WP$",
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+ "WRB",
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+ "XX",
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+ "``"
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+ ],
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+ "parser":[
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+ "ROOT",
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+ "acl",
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+ "acomp",
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+ "advcl",
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+ "advmod",
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+ "agent",
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+ "amod",
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+ "appos",
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+ "attr",
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+ "aux",
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+ "auxpass",
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+ "case",
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+ "cc",
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+ "ccomp",
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+ "compound",
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+ "conj",
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+ "csubj",
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+ "csubjpass",
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+ "dative",
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+ "dep",
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+ "det",
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+ "dobj",
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+ "expl",
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+ "intj",
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+ "mark",
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+ "meta",
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+ "neg",
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+ "nmod",
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+ "npadvmod",
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+ "nsubj",
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+ "nsubjpass",
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+ "nummod",
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+ "oprd",
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+ "parataxis",
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+ "pcomp",
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+ "pobj",
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+ "poss",
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+ "preconj",
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+ "predet",
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+ "prep",
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+ "prt",
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+ "punct",
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+ "quantmod",
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+ "relcl",
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+ "xcomp"
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+ ],
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+ "ner":[
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+ "CARDINAL",
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+ "CITY",
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+ "DATE",
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+ "EVENT",
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+ "FAC",
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+ "GPE",
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+ "HOUSE_NR",
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+ "LANGUAGE",
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+ "LAW",
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+ "LOC",
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+ "MONEY",
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+ "NORP",
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+ "ORDINAL",
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+ "ORG",
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+ "PERCENT",
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+ "PERSON",
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+ "POST_CODE",
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+ "PRODUCT",
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+ "QUANTITY",
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+ "STREET",
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+ "TIME",
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+ "WORK_OF_ART"
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+ ]
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+ },
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+ "pipeline":[
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+ "tagger",
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+ "parser",
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+ "ner"
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+ ],
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+ "components":[
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+ "tagger",
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+ "parser",
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+ "disabled":[
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+ "performance":{
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+ "CITY":{
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+ "ner_loss":927.719011857
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+ }
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+ }
ner/cfg ADDED
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ner/moves ADDED
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+ "PRP$",
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+ "RBR",
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