README.md

Full notebook:

https://github.com/MustafaAlahmid/hugging_face_models/blob/main/layoutlm_funsd.ipynb

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tags: - generated_from_keras_callback model-index: - name: layoutlm-funsd-tf results: []

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: 0.0691
• Validation Loss: 0.7709
• Train Overall Precision: 0.7410
• Train Overall Recall: 0.7953
• Train Overall F1: 0.7672
• Train Overall Accuracy: 0.8057
• 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
1.1546	0.6939	0.6387	0.7381	0.6848	0.7761	0
0.6170	0.5872	0.7099	0.7832	0.7448	0.7949	1
0.4005	0.6761	0.6766	0.7777	0.7236	0.7729	2
0.2921	0.6447	0.7169	0.7852	0.7495	0.7934	3
0.2029	0.7472	0.7019	0.7953	0.7457	0.7852	4
0.1383	0.7195	0.7327	0.7938	0.7620	0.8048	5
0.0932	0.7851	0.7272	0.7998	0.7618	0.8063	6
0.0691	0.7709	0.7410	0.7953	0.7672	0.8057	7

Framework versions

• Transformers 4.26.0
• TensorFlow 2.10.0
• Datasets 2.9.0
• Tokenizers 0.13.2