LayoutLMv3_5_entities_filtred_17

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: 0.0000
• Precision: 0.0
• Recall: 0.0
• F1: 0.0
• 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	8.33	100	0.0002	0.0	0.0	0.0	1.0
No log	16.67	200	0.0001	0.0	0.0	0.0	1.0
No log	25.0	300	0.0001	0.0	0.0	0.0	1.0
No log	33.33	400	0.0001	0.0	0.0	0.0	1.0
0.024	41.67	500	0.0000	0.0	0.0	0.0	1.0
0.024	50.0	600	0.0000	0.0	0.0	0.0	1.0
0.024	58.33	700	0.0000	0.0	0.0	0.0	1.0
0.024	66.67	800	0.0000	0.0	0.0	0.0	1.0
0.024	75.0	900	0.0000	0.0	0.0	0.0	1.0
0.0001	83.33	1000	0.0000	0.0	0.0	0.0	1.0
0.0001	91.67	1100	0.0000	0.0	0.0	0.0	1.0
0.0001	100.0	1200	0.0000	0.0	0.0	0.0	1.0
0.0001	108.33	1300	0.0000	0.0	0.0	0.0	1.0
0.0001	116.67	1400	0.0000	0.0	0.0	0.0	1.0
0.0	125.0	1500	0.0000	0.0	0.0	0.0	1.0
0.0	133.33	1600	0.0000	0.0	0.0	0.0	1.0
0.0	141.67	1700	0.0000	0.0	0.0	0.0	1.0
0.0	150.0	1800	0.0000	0.0	0.0	0.0	1.0
0.0	158.33	1900	0.0000	0.0	0.0	0.0	1.0
0.0	166.67	2000	0.0000	0.0	0.0	0.0	1.0

Framework versions

• Transformers 4.29.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.13.3