Aanshula/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: 0.3182
• Validation Loss: 0.6807
• Train Overall Precision: 0.7172
• Train Overall Recall: 0.7878
• Train Overall F1: 0.7508
• Train Overall Accuracy: 0.7864
• Epoch: 6

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
1.7000	1.4167	0.2445	0.2107	0.2264	0.4831	0
1.1656	0.8677	0.5749	0.6257	0.5992	0.7251	1
0.7704	0.7254	0.6356	0.7160	0.6734	0.7637	2
0.5758	0.6690	0.6851	0.7476	0.7150	0.7857	3
0.4526	0.6096	0.7085	0.7757	0.7406	0.8046	4
0.3614	0.6834	0.7118	0.7657	0.7377	0.7872	5
0.3182	0.6807	0.7172	0.7878	0.7508	0.7864	6

Framework versions

• Transformers 4.35.2
• TensorFlow 2.15.0
• Datasets 2.16.1
• Tokenizers 0.15.1