LayoutLMv3-first

This model is a fine-tuned version of microsoft/layoutlmv3-large on an unknown 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: 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: 2000

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	100.0	100	0.0013	1.0	1.0	1.0	1.0
No log	200.0	200	0.0005	1.0	1.0	1.0	1.0
No log	300.0	300	0.0003	1.0	1.0	1.0	1.0
No log	400.0	400	0.0002	1.0	1.0	1.0	1.0
0.0449	500.0	500	0.0002	1.0	1.0	1.0	1.0
0.0449	600.0	600	0.0002	1.0	1.0	1.0	1.0
0.0449	700.0	700	0.0001	1.0	1.0	1.0	1.0
0.0449	800.0	800	0.0001	1.0	1.0	1.0	1.0
0.0449	900.0	900	0.0001	1.0	1.0	1.0	1.0
0.0003	1000.0	1000	0.0001	1.0	1.0	1.0	1.0
0.0003	1100.0	1100	0.0001	1.0	1.0	1.0	1.0
0.0003	1200.0	1200	0.0001	1.0	1.0	1.0	1.0
0.0003	1300.0	1300	0.0001	1.0	1.0	1.0	1.0
0.0003	1400.0	1400	0.0001	1.0	1.0	1.0	1.0
0.0002	1500.0	1500	0.0001	1.0	1.0	1.0	1.0
0.0002	1600.0	1600	0.0001	1.0	1.0	1.0	1.0
0.0002	1700.0	1700	0.0001	1.0	1.0	1.0	1.0
0.0002	1800.0	1800	0.0001	1.0	1.0	1.0	1.0
0.0002	1900.0	1900	0.0001	1.0	1.0	1.0	1.0
0.0002	2000.0	2000	0.0001	1.0	1.0	1.0	1.0

Framework versions

• Transformers 4.29.2
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.13.3