This model is a fine-tuned version of microsoft/layoutlmv3-base on the cord-layoutlmv3 dataset. It achieves the following results on the evaluation set:

Loss: 3.4767
Precision: 0.4175
Recall: 0.4506
F1: 0.4334
Accuracy: 0.3506

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: 1e-05
train_batch_size: 5
eval_batch_size: 5
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	0.5	20	3.5573	0.3937	0.4558	0.4225	0.3587

Framework versions

Transformers 4.42.4
Pytorch 2.1.1+cpu
Datasets 2.20.0
Tokenizers 0.19.1

Khoaspp/layoutlmv3-finetuned-cord_100

layoutlmv3-finetuned-cord_100

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Khoaspp/
layoutlmv3-finetuned-cord_100