Model: pierreguillou/lilt-xlm-roberta-base-finetuned-with-DocLayNet-base-at-linelevel-ml384
Author: pierreguillou
Pipeline: token-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, lilt, token-classification, object-detection, vision, generated_from_trainer, DocLayNet, COCO, PDF, IBM, Financial-Reports, Finance, Manuals, Scientific-Articles, Science, Laws, Law, Regulations, Patents, Government-Tenders, image-segmentation, multilingual, en, de, fr, ja, dataset:pierreguillou/DocLayNet-base, arxiv:2206.01062, license:mit, model-index, deploy:azure, region:us
Card metadata: language: multilingual, en, de, fr, ja
license: mit
tags: object-detection, vision, generated_from_trainer, DocLayNet, COCO, PDF, IBM, Financial-Reports, Finance, Manuals, Scientific-Articles, Science, Laws, Law, Regulations, Patents, Government-Tenders, object-detection, image-segmentation, token-classification
inference: no
datasets: pierreguillou/DocLayNet-base
metrics: precision, recall, f1, accuracy
model-index: name: lilt-xlm-roberta-base-finetuned-with-DocLayNet-base-at-linelevel-ml384
results: task: name: Token Classification
type: token-classification
metrics: name: f1
type: f1
value: 0.8584
verified: no, name: accuracy
type: accuracy
value: 0.8584
verified: no
Likes: 12 | All-time downloads: 164253
Created: 2023-02-09 15:43:23