Model: ogulcanakca/layoutlmv2-base-uncased-finetuned-cordv2-receipts
Author: ogulcanakca
Pipeline: token-classification
Library: transformers
Tags: transformers, safetensors, layoutlmv2, token-classification, pytorch, document-ai, information-extraction, cord-v2, ocr-post-processing, en, dataset:naver-clova-ix/cord-v2, base_model:microsoft/layoutlmv2-base-uncased, base_model:finetune:microsoft/layoutlmv2-base-uncased, license:cc-by-nc-sa-4.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: microsoft/layoutlmv2-base-uncased
Card metadata: language: en
license: cc-by-nc-sa-4.0
datasets: naver-clova-ix/cord-v2
base_model: microsoft/layoutlmv2-base-uncased
model-index: name: Smart Receipt Reader - LayoutLMv2 on CORD-v2
results: task: type: token-classification
name: Receipt Entity Extraction
dataset: name: CORD-v2 (Test Set)
type: naver-clova-ix/cord-v2
metrics: name: Overall F1 (Weighted Avg)
type: f1
value: 0.9575
verified: no, name: Overall Precision (Weighted Avg)
type: precision
value: 0.9582
verified: no, name: Overall Recall (Weighted Avg)
type: recall
value: 0.9567
verified: no, name: Overall Accuracy
type: accuracy
value: 0.969
verified: no, name: Macro Avg F1-Score
type: f1_macro
value: 0.8
verified: no
pipeline_tag: token-classification
tags: transformers, pytorch, document-ai, information-extraction, token-classification, cord-v2, ocr-post-processing
Likes: 0 | All-time downloads: 216
Created: 2025-06-01 05:52:45