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README.md
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- name: TAG (XPOS) Accuracy
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type: accuracy
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value: 0.9132229517
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- task:
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name: POS
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type: token-classification
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- name: POS (UPOS) Accuracy
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type: accuracy
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value: 0.9560235273
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- task:
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name: MORPH
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type: token-classification
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- name: Morph (UFeats) Accuracy
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type: accuracy
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value: 0.9536528845
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- task:
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name: LEMMA
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type: token-classification
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- name: Lemma Accuracy
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type: accuracy
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value: 0.9042365534
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- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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- name: Unlabeled Attachment Score (UAS)
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type: f_score
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value: 0.8605572362
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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- name: Labeled Attachment Score (LAS)
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type: f_score
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value: 0.799879978
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- task:
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name: SENTS
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type: token-classification
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- name: Sentences F-Score
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type: f_score
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value: 0.9926447074
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datasets:
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- UD-Filipino/UD_Tagalog-NewsCrawl
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base_model:
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- name: TAG (XPOS) Accuracy
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type: accuracy
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value: 0.9132229517
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dataset:
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type: UD-Filipino/UD_Tagalog-NewsCrawl
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name: UD_Tagalog-NewsCrawl
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split: validation
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- task:
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name: POS
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type: token-classification
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- name: POS (UPOS) Accuracy
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type: accuracy
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value: 0.9560235273
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dataset:
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type: UD-Filipino/UD_Tagalog-NewsCrawl
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name: UD_Tagalog-NewsCrawl
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split: validation
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- task:
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name: MORPH
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type: token-classification
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- name: Morph (UFeats) Accuracy
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type: accuracy
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value: 0.9536528845
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dataset:
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type: UD-Filipino/UD_Tagalog-NewsCrawl
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name: UD_Tagalog-NewsCrawl
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split: validation
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- task:
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name: LEMMA
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type: token-classification
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- name: Lemma Accuracy
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type: accuracy
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value: 0.9042365534
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+
dataset:
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type: UD-Filipino/UD_Tagalog-NewsCrawl
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name: UD_Tagalog-NewsCrawl
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split: validation
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- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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- name: Unlabeled Attachment Score (UAS)
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type: f_score
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value: 0.8605572362
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dataset:
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type: UD-Filipino/UD_Tagalog-NewsCrawl
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name: UD_Tagalog-NewsCrawl
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split: validation
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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- name: Labeled Attachment Score (LAS)
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type: f_score
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value: 0.799879978
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dataset:
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type: UD-Filipino/UD_Tagalog-NewsCrawl
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name: UD_Tagalog-NewsCrawl
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split: validation
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- task:
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name: SENTS
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type: token-classification
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- name: Sentences F-Score
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type: f_score
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value: 0.9926447074
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dataset:
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type: UD-Filipino/UD_Tagalog-NewsCrawl
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name: UD_Tagalog-NewsCrawl
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split: validation
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datasets:
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- UD-Filipino/UD_Tagalog-NewsCrawl
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base_model:
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