layoutlmv3-finetuned-vinv2

This model is a fine-tuned version of microsoft/layoutlmv3-base on the drug_bill_layoutv3 dataset. It achieves the following results on the evaluation set:

• Loss: 0.0001
• Precision: 1.0
• Recall: 1.0
• F1: 1.0
• Accuracy: 1.0

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: 3000

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.33	250	0.0025	0.9994	0.9994	0.9994	0.9998
0.0662	2.66	500	0.0004	1.0	1.0	1.0	1.0
0.0662	3.99	750	0.0003	1.0	1.0	1.0	1.0
0.0111	5.32	1000	0.0002	1.0	1.0	1.0	1.0
0.0111	6.65	1250	0.0001	1.0	1.0	1.0	1.0
0.0126	7.98	1500	0.0001	1.0	1.0	1.0	1.0
0.0126	9.31	1750	0.0001	1.0	1.0	1.0	1.0
0.0032	10.64	2000	0.0001	1.0	1.0	1.0	1.0
0.0032	11.97	2250	0.0001	1.0	1.0	1.0	1.0
0.0011	13.3	2500	0.0001	1.0	1.0	1.0	1.0
0.0011	14.63	2750	0.0001	1.0	1.0	1.0	1.0
0.0002	15.96	3000	0.0001	1.0	1.0	1.0	1.0

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.13.2