Davide Montebovi commited on
Commit
119eceb
1 Parent(s): 1199c0b
Files changed (12) hide show
  1. config.cfg +145 -0
  2. meta.json +154 -0
  3. ner/cfg +13 -0
  4. ner/model +0 -0
  5. ner/moves +1 -0
  6. tokenizer +3 -0
  7. transformer/cfg +3 -0
  8. vocab/key2row +1 -0
  9. vocab/lookups.bin +3 -0
  10. vocab/strings.json +0 -0
  11. vocab/vectors +0 -0
  12. vocab/vectors.cfg +3 -0
config.cfg ADDED
@@ -0,0 +1,145 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
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+ train = "./training_data.spacy"
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+ dev = "./training_data.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 = "it"
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+ pipeline = ["transformer","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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+ pooling = {"@layers":"reduce_mean.v1"}
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+ upstream = "*"
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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 = "bullmount/hseBert-it-cased"
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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 = 20000
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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]
112
+ @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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+ ents_f = 1.0
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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}
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+ init_tok2vec = ${paths.init_tok2vec}
138
+ vocab_data = null
139
+ lookups = null
140
+ before_init = null
141
+ after_init = null
142
+
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+ [initialize.components]
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+
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+ [initialize.tokenizer]
meta.json ADDED
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+ {
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+ "lang":"it",
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+ "name":"pipeline",
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+ "version":"0.0.0",
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+ "spacy_version":">=3.2.4,<3.3.0",
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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":"b50fe5ec6",
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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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+ "mode":"default"
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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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+ "ner":[
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+ "CARDINAL",
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+ "DATE",
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+ "EVENT",
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+ "FAC",
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+ "GPE",
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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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+ "PER",
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+ "PERCENT",
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+ "PRODUCT",
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+ "QUANTITY",
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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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+ "transformer",
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+ "ner"
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+ ],
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+ "components":[
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+ "transformer",
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+ "ner"
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+ ],
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+ "disabled":[
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+
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+ ],
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+ "performance":{
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+ "ents_f":0.9991603694,
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+ "ents_p":0.9996483551,
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+ "ents_r":0.99867286,
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+ "ents_per_type":{
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+ "ORG":{
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+ "p":1.0,
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+ "r":1.0,
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+ "f":1.0
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+ },
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+ "DATE":{
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+ "p":1.0,
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+ "r":0.9995191152,
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+ "f":0.9997594998
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+ },
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+ "PER":{
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+ "p":1.0,
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+ "r":0.9996473907,
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+ "f":0.9998236643
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+ },
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+ "TIME":{
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+ "p":1.0,
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+ "r":0.9956427015,
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+ "f":0.9978165939
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+ },
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+ "LOC":{
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+ "p":1.0,
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+ "r":1.0,
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+ "f":1.0
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+ },
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+ "ORDINAL":{
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+ "p":0.9873617694,
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+ "r":0.9674922601,
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+ "f":0.977326036
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+ },
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+ "EVENT":{
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+ "p":1.0,
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+ "r":0.9959839357,
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+ "f":0.9979879276
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+ },
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+ "NORP":{
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+ "p":1.0,
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+ "r":0.9990253411,
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+ "f":0.999512433
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+ },
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+ "GPE":{
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+ "p":1.0,
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+ "r":0.999405116,
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+ "f":0.9997024695
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+ },
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+ "QUANTITY":{
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+ "p":1.0,
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+ "r":0.9973614776,
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+ "f":0.998678996
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+ },
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+ "CARDINAL":{
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+ "p":0.9996070727,
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+ "r":0.999214454,
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+ "f":0.9994107248
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+ },
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+ "FAC":{
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+ "p":1.0,
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+ "r":0.9982174688,
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+ "f":0.9991079393
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+ },
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+ "PERCENT":{
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+ "p":1.0,
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+ "r":1.0,
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+ "f":1.0
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+ },
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+ "PRODUCT":{
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+ "p":1.0,
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+ "r":1.0,
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+ "f":1.0
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+ },
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+ "WORK_OF_ART":{
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+ "p":1.0,
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+ "r":1.0,
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+ "f":1.0
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+ },
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+ "LAW":{
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+ "p":1.0,
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+ "r":1.0,
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+ "f":1.0
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+ },
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+ "LANGUAGE":{
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+ "p":1.0,
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+ "r":1.0,
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+ "f":1.0
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+ },
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+ "MONEY":{
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+ "p":1.0,
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+ "r":1.0,
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+ "f":1.0
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+ }
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+ },
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+ "transformer_loss":13.1735397025,
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+ "ner_loss":409.0941776226
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+ }
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+ }
ner/cfg ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "moves":null,
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+ "update_with_oracle_cut_size":100,
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+ "multitasks":[
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+
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+ ],
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+ "min_action_freq":1,
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+ "learn_tokens":false,
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+ "beam_width":1,
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+ "beam_density":0.0,
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+ "beam_update_prob":0.0,
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+ "incorrect_spans_key":null
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+ }
ner/model ADDED
Binary file (314 kB). View file
 
ner/moves ADDED
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tokenizer ADDED
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