layoutlm-funsd

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

• Loss: 0.9828
• Question: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1}
• Overall Precision: 1.0
• Overall Recall: 1.0
• Overall F1: 1.0
• Overall 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: 5e-05
• train_batch_size: 4
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Question	Overall Precision	Overall Recall	Overall F1	Overall Accuracy
1.585	1.0	38	1.3020	{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1}	1.0	1.0	1.0	1.0
1.1814	2.0	76	1.1133	{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1}	1.0	1.0	1.0	1.0
1.0181	3.0	114	1.0476	{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1}	1.0	1.0	1.0	1.0
0.9213	4.0	152	1.0004	{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1}	1.0	1.0	1.0	1.0
0.8337	5.0	190	0.9828	{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1}	1.0	1.0	1.0	1.0

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2