LayoutLM_3

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

• Loss: 0.7776
• Precision: 0.0
• Recall: 0.0
• F1: 0.0
• Accuracy: 0.7851

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-06
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	3.03	100	1.1551	0.0	0.0	0.0	0.7851
No log	6.06	200	0.9739	0.0	0.0	0.0	0.7851
No log	9.09	300	0.9131	0.0	0.0	0.0	0.7851
No log	12.12	400	0.8722	0.0	0.0	0.0	0.7851
1.0495	15.15	500	0.8338	0.0	0.0	0.0	0.7851
1.0495	18.18	600	0.8131	0.0	0.0	0.0	0.7851
1.0495	21.21	700	0.8001	0.0	0.0	0.0	0.7851
1.0495	24.24	800	0.7874	0.0	0.0	0.0	0.7851
1.0495	27.27	900	0.7797	0.0	0.0	0.0	0.7851
0.6789	30.3	1000	0.7776	0.0	0.0	0.0	0.7851

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3