Model: filbench/tl_mdeberta_v3_transition
Author: filbench
Pipeline: token-classification
Library: spacy
Tags: spacy, token-classification, tl, dataset:UD-Filipino/UD_Tagalog-NewsCrawl, base_model:microsoft/mdeberta-v3-base, base_model:finetune:microsoft/mdeberta-v3-base, license:mit, model-index, region:us
Base models (finetune): id: microsoft/mdeberta-v3-base
Card metadata: tags: spacy, token-classification
language: tl
license: mit
model-index: name: tl_mdeberta_v3_transition
results: task: name: TAG
type: token-classification
metrics: name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9132229517
verified: no
dataset: type: UD-Filipino/UD_Tagalog-NewsCrawl
name: UD_Tagalog-NewsCrawl
split: validation, task: name: POS
type: token-classification
metrics: name: POS (UPOS) Accuracy
type: accuracy
value: 0.9560235273
verified: no
dataset: type: UD-Filipino/UD_Tagalog-NewsCrawl
name: UD_Tagalog-NewsCrawl
split: validation, task: name: MORPH
type: token-classification
metrics: name: Morph (UFeats) Accuracy
type: accuracy
value: 0.9536528845
verified: no
dataset: type: UD-Filipino/UD_Tagalog-NewsCrawl
name: UD_Tagalog-NewsCrawl
split: validation, task: name: LEMMA
type: token-classification
metrics: name: Lemma Accuracy
type: accuracy
value: 0.9042365534
verified: no
dataset: type: UD-Filipino/UD_Tagalog-NewsCrawl
name: UD_Tagalog-NewsCrawl
split: validation, task: name: UNLABELED_DEPENDENCIES
type: token-classification
metrics: name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.8605572362
verified: no
dataset: type: UD-Filipino/UD_Tagalog-NewsCrawl
name: UD_Tagalog-NewsCrawl
split: validation, task: name: LABELED_DEPENDENCIES
type: token-classification
metrics: name: Labeled Attachment Score (LAS)
type: f_score
value: 0.799879978
verified: no
dataset: type: UD-Filipino/UD_Tagalog-NewsCrawl
name: UD_Tagalog-NewsCrawl
split: validation, task: name: SENTS
type: token-classification
metrics: name: Sentences F-Score
type: f_score
value: 0.9926447074
verified: no
dataset: type: UD-Filipino/UD_Tagalog-NewsCrawl
name: UD_Tagalog-NewsCrawl
split: validation
datasets: UD-Filipino/UD_Tagalog-NewsCrawl
base_model: microsoft/mdeberta-v3-base
pipeline_tag: token-classification
library_name: spacy
Likes: 0 | All-time downloads: 162
Created: 2024-12-23 21:17:17