layoutlmv3-finetuned-invoice

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

• Loss: 0.0116
• Precision: 0.972
• Recall: 0.9858
• F1: 0.9789
• Accuracy: 0.9971

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: 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: 875

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	2.0	100	0.0898	0.972	0.9858	0.9789	0.9971
No log	4.0	200	0.0251	0.972	0.9858	0.9789	0.9971
No log	6.0	300	0.0176	0.972	0.9858	0.9789	0.9971
No log	8.0	400	0.0148	0.972	0.9858	0.9789	0.9971
0.1241	10.0	500	0.0116	0.972	0.9858	0.9789	0.9971
0.1241	12.0	600	0.0072	0.9919	0.9959	0.9939	0.9992
0.1241	14.0	700	0.0059	0.9960	0.9980	0.9970	0.9996
0.1241	16.0	800	0.0044	0.9980	0.9980	0.9980	0.9998

Framework versions

• Transformers 4.32.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.14.3
• Tokenizers 0.13.3