layoutlm-funsd-tf

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

• Train Loss: 0.5535
• Validation Loss: 1.2985
• Train Overall Precision: 0.4855
• Train Overall Recall: 0.5705
• Train Overall F1: 0.5246
• Train Overall Accuracy: 0.6026
• Epoch: 7

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:

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Train Overall Precision	Train Overall Recall	Train Overall F1	Train Overall Accuracy	Epoch
1.6900	1.4644	0.1772	0.1922	0.1844	0.4144	0
1.3402	1.2155	0.2920	0.4566	0.3562	0.4865	1
1.1357	1.1454	0.3449	0.4952	0.4066	0.5503	2
1.0088	1.1098	0.3871	0.5198	0.4438	0.5737	3
0.8868	1.0295	0.4061	0.5569	0.4697	0.6159	4
0.7747	1.1882	0.4507	0.5625	0.5004	0.6062	5
0.6577	1.0658	0.4760	0.5625	0.5156	0.6305	6
0.5535	1.2985	0.4855	0.5705	0.5246	0.6026	7

Framework versions

• Transformers 4.35.2
• TensorFlow 2.15.0
• Datasets 2.17.0
• Tokenizers 0.15.2