layoutlmv2-base-uncased_finetuned_docvqa

ytiriyar/layoutlmv2-base-uncased_finetuned_docvqa

layoutlmv2-base-uncased_finetuned_docvqa is a document question answering model from ytiriyar. 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-nc-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-nc-sa-4.0
Model type: layoutlmv2
Access: Public
Created: Apr 11, 2023
Updated: Apr 11, 2023
SHA: 0a0c8e68

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 the None dataset. It achieves the following results on the evaluation set:

Loss: 4.3167

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: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 0.5

Training results

Training Loss	Epoch	Step	Validation Loss
5.4213	0.22	50	4.6420
4.513	0.44	100	4.3167

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Task: Document Question Answering
Library: transformers
Type: layoutlmv2
License: cc-by-nc-sa-4.0
Created: Apr 11, 2023
Updated: Apr 11, 2023