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  1. README.md +1 -59
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@@ -1,61 +1,3 @@
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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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- - lt
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- license: CC-BY-SA-4.0
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- model-index:
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- - name: lt_core_news_md
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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: 0.7449933244
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- - name: Recall
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- type: recall
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- value: 0.8374187094
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- - name: F Score
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- type: f_score
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- value: 0.78850683
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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: 0.8598494679
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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: 0.8349834983
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- - name: Recall
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- type: recall
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- value: 0.8200972447
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- - name: F Score
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- type: f_score
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- value: 0.827473426
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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: 0.7370421197
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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: 0.7370421197
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- ---
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  ### Details: https://spacy.io/models/lt#lt_core_news_md
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  Lithuanian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
@@ -104,4 +46,4 @@ Lithuanian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagge
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  | `SENTS_F` | 82.75 |
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  | `ENTS_P` | 74.50 |
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  | `ENTS_R` | 83.74 |
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- | `ENTS_F` | 78.85 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Details: https://spacy.io/models/lt#lt_core_news_md
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  Lithuanian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
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  | `SENTS_F` | 82.75 |
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  | `ENTS_P` | 74.50 |
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  | `ENTS_R` | 83.74 |
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+ | `ENTS_F` | 78.85 |