layoutlmv2-base-uncased-finetuned-docvqa

tiennvcs/layoutlmv2-base-uncased-finetuned-docvqa

layoutlmv2-base-uncased-finetuned-docvqa is a document question answering model from tiennvcs. Use it for the document question answering task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-sa-4.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Document Question Answering
Library: transformers
License: cc-by-sa-4.0
Model type: layoutlmv2
Access: Public
Created: Mar 2, 2022
Updated: Oct 31, 2021
SHA: 99771655

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Model card

From the Hugging Face model README

layoutlmv2-base-uncased-finetuned-docvqa

This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1940

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 250500
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.463	0.27	1000	1.6272
0.9447	0.53	2000	1.3646
0.7725	0.8	3000	1.2560
0.5762	1.06	4000	1.3582
0.4382	1.33	5000	1.2490
0.4515	1.59	6000	1.1860
0.383	1.86	7000	1.1940

Framework versions

Transformers 4.12.2
Pytorch 1.8.0+cu101
Datasets 1.14.0
Tokenizers 0.10.3

Task: Document Question Answering
Library: transformers
Type: layoutlmv2
License: cc-by-sa-4.0
Created: Mar 2, 2022
Updated: Oct 31, 2021