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: 0.4674
• Validation Loss: 0.6405
• Train Overall Precision: 0.7082
• Train Overall Recall: 0.7637
• Train Overall F1: 0.7349
• Train Overall Accuracy: 0.7984
• Epoch: 4

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
1.7185	1.4324	0.2236	0.2805	0.2488	0.5123	0
1.1768	0.9053	0.5468	0.6744	0.6039	0.7257	1
0.7782	0.6968	0.6512	0.7250	0.6861	0.7760	2
0.5777	0.6506	0.6826	0.7682	0.7229	0.7924	3
0.4674	0.6405	0.7082	0.7637	0.7349	0.7984	4

Framework versions

• Transformers 4.33.3
• TensorFlow 2.13.0
• Datasets 2.14.5
• Tokenizers 0.13.3