Davide Montebovi
commited on
Commit
•
119eceb
1
Parent(s):
1199c0b
first ver
Browse files- config.cfg +145 -0
- meta.json +154 -0
- ner/cfg +13 -0
- ner/model +0 -0
- ner/moves +1 -0
- tokenizer +3 -0
- transformer/cfg +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
config.cfg
ADDED
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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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[system]
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gpu_allocator = "pytorch"
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seed = 0
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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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[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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pooling = {"@layers":"reduce_mean.v1"}
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upstream = "*"
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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 = "bullmount/hseBert-it-cased"
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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 = 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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[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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[training.logger]
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@loggers = "spacy.ConsoleLogger.v1"
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progress_bar = false
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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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[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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[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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[pretraining]
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[initialize]
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vectors = ${paths.vectors}
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init_tok2vec = ${paths.init_tok2vec}
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vocab_data = null
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lookups = null
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before_init = null
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after_init = null
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[initialize.components]
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[initialize.tokenizer]
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meta.json
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@@ -0,0 +1,154 @@
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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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"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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"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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133 |
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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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}
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ner/cfg
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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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"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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}
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ner/model
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Binary file (314 kB). View file
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ner/moves
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transformer/cfg
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
{
|
2 |
+
"max_batch_items":4096
|
3 |
+
}
|
vocab/key2row
ADDED
@@ -0,0 +1 @@
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1 |
+
�
|
vocab/lookups.bin
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:76be8b528d0075f7aae98d6fa57a6d3c83ae480a8469e668d7b0af968995ac71
|
3 |
+
size 1
|
vocab/strings.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
vocab/vectors
ADDED
Binary file (128 Bytes). View file
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vocab/vectors.cfg
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
{
|
2 |
+
"mode":"default"
|
3 |
+
}
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