layoutlmv3-finetuned-registros_100

This model was trained from scratch on the data_registros_layoutv3 dataset. It achieves the following results on the evaluation set:

• Loss: 0.0050
• Precision: 0.9968
• Recall: 0.9951
• F1: 0.9960
• Accuracy: 0.9995

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-06
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 600

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	4.35	100	0.0106	0.9871	0.9935	0.9903	0.9991
No log	8.7	200	0.0073	0.9984	0.9968	0.9976	0.9997
No log	13.04	300	0.0061	0.9968	0.9968	0.9968	0.9997
No log	17.39	400	0.0048	0.9968	0.9984	0.9976	0.9997
0.0109	21.74	500	0.0053	0.9968	0.9968	0.9968	0.9997
0.0109	26.09	600	0.0050	0.9968	0.9951	0.9960	0.9995

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3