t_2_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: 0.0008
• Validation Loss: 0.0001
• Train Overall Precision: 1.0
• Train Overall Recall: 1.0
• Train Overall F1: 1.0
• Train Overall Accuracy: 1.0
• 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: float32

Training results

Train Loss	Validation Loss	Train Overall Precision	Train Overall Recall	Train Overall F1	Train Overall Accuracy	Epoch
0.0597	0.0009	1.0	1.0	1.0	1.0	0
0.0014	0.0005	1.0	1.0	1.0	1.0	1
0.0007	0.0003	1.0	1.0	1.0	1.0	2
0.0005	0.0003	1.0	1.0	1.0	1.0	3
0.0005	0.0002	1.0	1.0	1.0	1.0	4
0.0003	0.0002	1.0	1.0	1.0	1.0	5
0.0003	0.0001	1.0	1.0	1.0	1.0	6
0.0008	0.0001	1.0	1.0	1.0	1.0	7

Framework versions

• Transformers 4.38.2
• TensorFlow 2.15.0
• Datasets 2.18.0
• Tokenizers 0.15.2