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  1. README.md +1 -59
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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:
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- - pl
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- license: GNU-GPL-3.0
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- model-index:
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- - name: pl_core_news_lg
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- results:
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- - tasks:
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- name: NER
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- type: token-classification
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- metrics:
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- - name: Precision
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- type: precision
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- value: 0.8440483768
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- - name: Recall
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- type: recall
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- value: 0.845124283
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- - name: F Score
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- type: f_score
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- value: 0.8445859873
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- - tasks:
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- name: POS
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- type: token-classification
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.9836900189
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- - tasks:
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- name: SENTER
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- type: token-classification
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- metrics:
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- - name: Precision
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- type: precision
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- value: 0.9598173516
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- - name: Recall
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- type: recall
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- value: 0.9489841986
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- - name: F Score
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- type: f_score
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- value: 0.9543700341
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- - tasks:
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- name: UNLABELED_DEPENDENCIES
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- type: token-classification
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.8933856209
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- - tasks:
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- name: LABELED_DEPENDENCIES
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- type: token-classification
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.8933856209
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- ---
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  ### Details: https://spacy.io/models/pl#pl_core_news_lg
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  Polish pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
@@ -104,4 +46,4 @@ Polish pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, p
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  | `MORPH_ACC` | 91.10 |
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  | `LEMMA_ACC` | 87.12 |
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  | `DEP_UAS` | 89.34 |
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- | `DEP_LAS` | 82.21 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Details: https://spacy.io/models/pl#pl_core_news_lg
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  Polish pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
 
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  | `MORPH_ACC` | 91.10 |
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  | `LEMMA_ACC` | 87.12 |
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  | `DEP_UAS` | 89.34 |
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+ | `DEP_LAS` | 82.21 |