You can deploy this model and start earning money today!

apriliantono/
layoutlmv2-base-uncased_finetuned_docvqa

Name: layoutlmv2-base-uncased_finetuned_docvqa
Rating: 2.5 (8 reviews)

transformers

safetensors

layoutlmv2

document-question-answering

generated_from_trainer

microsoft/layoutlmv2-base-uncased

finetune

cc-by-nc-sa-4.0

endpoints_compatible

Views

No views yet

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: 5.0694

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
5.1983	3.8462	50	5.3145
3.8487	7.6923	100	5.2044
3.352	11.5385	150	5.1375
3.1143	15.3846	200	5.0852
3.0133	19.2308	250	5.0694

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0

apriliantono/layoutlmv2-base-uncased_finetuned_docvqa

layoutlmv2-base-uncased_finetuned_docvqa

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

apriliantono/
layoutlmv2-base-uncased_finetuned_docvqa