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  1. .gitattributes +1 -0
  2. README.md +38 -0
  3. config.cfg +141 -0
  4. meta.json +70 -0
  5. ner/cfg +13 -0
  6. ner/model +0 -0
  7. ner/moves +1 -0
  8. tokenizer +3 -0
  9. transformer/cfg +3 -0
  10. transformer/model +3 -0
  11. vocab/key2row +1 -0
  12. vocab/lookups.bin +3 -0
  13. vocab/strings.json +0 -0
  14. vocab/vectors +0 -0
  15. vocab/vectors.cfg +3 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ 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
README.md CHANGED
@@ -1,3 +1,41 @@
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  ---
 
 
 
 
 
 
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  license: mit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ tags:
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+ - spacy
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+ - token-classification
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+ language: uk
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+ datasets:
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+ - ner-uk
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  license: mit
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+ model-index:
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+ - name: uk_ner_web_trf_best
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+ results:
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+ - task:
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+ name: NER
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+ type: token-classification
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+ metrics:
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+ - name: NER Precision
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+ type: precision
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+ value: 0.9278959811
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+ - name: NER Recall
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+ type: recall
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+ value: 0.9127906977
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+ - name: NER F Score
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+ type: f_score
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+ value: 0.9202813599
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+ widget:
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+ - text: "Президент Володимир Зеленський пояснив, що наразі діалог із режимом Володимира путіна неможливий, адже агресор обрав курс на знищення українського народу. За словами Зеленського цей режим РФ виявляє неповагу до суверенітету і територіальної цілісності України."
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  ---
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+ # uk_ner_web_trf_best
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+
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+ ## Model description
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+
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+ **uk_ner_web_trf_best** is a fine-tuned [Roberta Large Ukrainian model](https://huggingface.co/benjamin/roberta-large-wechsel-ukrainian) that is ready to use for **Named Entity Recognition** and achieves a new **SoA** performance for the NER task for Ukrainian language. It outperforms another SpaCy model, [uk_core_news_trf](https://huggingface.co/ukr-models/uk_core_news_trf) on a NER task.
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+
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+ It has been trained to recognize four types of entities: location (LOC), organizations (ORG), person (PERS) and Miscellaneous (MISC).
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+
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+ The model was fine-tuned on the [NER-UK dataset](https://github.com/lang-uk/ner-uk), released by the [lang-uk](https://lang.org.ua).
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+
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+ A smaller transformer-based model for the SpaCy is available [here](https://huggingface.co/dchaplinsky/uk_ner_web_trf_base).
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+
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+
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+ Copyright: [Dmytro Chaplynskyi](https://twitter.com/dchaplinsky), [lang-uk project](https://lang.org.ua), 2023
config.cfg ADDED
@@ -0,0 +1,141 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
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+ train = "data/train.spacy"
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+ dev = "data/test.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 = "uk"
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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 = 128
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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 = "benjamin/roberta-large-wechsel-ukrainian"
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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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+ before_to_disk = null
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+ frozen_components = []
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+ annotating_components = []
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+ before_update = 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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+ learn_rate = 0.00001
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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}
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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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+
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+ [initialize.components]
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+
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+ [initialize.tokenizer]
meta.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "lang":"uk",
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+ "name":"pipeline",
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+ "version":"0.0.0",
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+ "spacy_version":">=3.5.0,<3.6.0",
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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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+ "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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+ "LOC",
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+ "MISC",
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+ "ORG",
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+ "PERS"
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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":0.9202813599,
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+ "ents_p":0.9278959811,
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+ "ents_r":0.9127906977,
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+ "ents_per_type":{
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+ "PERS":{
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+ "p":0.9600470035,
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+ "r":0.9737783075,
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+ "f":0.9668639053
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+ },
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+ "ORG":{
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+ "p":0.8063241107,
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+ "r":0.7816091954,
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+ "f":0.7937743191
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+ },
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+ "LOC":{
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+ "p":0.9142857143,
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+ "r":0.8778054863,
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+ "f":0.8956743003
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+ },
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+ "MISC":{
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+ "p":0.8333333333,
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+ "r":0.6875,
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+ "f":0.7534246575
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+ }
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+ },
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+ "transformer_loss":15.9567638309,
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+ "ner_loss":28.0483843193
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+ }
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+ }
ner/cfg ADDED
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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
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ner/moves ADDED
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