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

Loss: 0.1524
Precision: 0.8384
Recall: 0.8877
F1: 0.8623
Accuracy: 0.9755

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: 500

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	27.78	250	0.2430	0.7526	0.7807	0.7664	0.9518
0.4695	55.56	500	0.1524	0.8384	0.8877	0.8623	0.9755

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

jpino/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

jpino/
layoutlmv3-finetuned-cord_100