Fine-tuned_LayoutLMv3_on_SROIE

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: 0.0393
• Precision: 0.9286
• Recall: 0.9460
• F1: 0.9372
• Accuracy: 0.9948

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 2500

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.04	12.5	500	0.0308	0.9128	0.9424	0.9273	0.9941
0.0057	25.0	1000	0.0353	0.9222	0.9474	0.9346	0.9947
0.0022	37.5	1500	0.0385	0.9218	0.9424	0.9320	0.9943
0.0013	50.0	2000	0.0377	0.9392	0.9467	0.9429	0.9951
0.0008	62.5	2500	0.0393	0.9286	0.9460	0.9372	0.9948

Framework versions

• Transformers 4.42.3
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.19.1