layoutlm-funsd-tf

This model is a fine-tuned version of cor-c/layoutlm-funsd-tf on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0632
• Validation Loss: 0.8795
• Train Overall Precision: 0.7424
• Train Overall Recall: 0.8038
• Train Overall F1: 0.7719
• Train Overall Accuracy: 0.8103
• 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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': 2.9999999242136255e-05, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Train Overall Precision	Train Overall Recall	Train Overall F1	Train Overall Accuracy	Epoch
0.2119	0.7340	0.7292	0.8053	0.7654	0.8046	0
0.1948	0.7521	0.7406	0.7963	0.7674	0.8027	1
0.1485	0.7879	0.7256	0.7988	0.7604	0.8019	2
0.1220	0.7861	0.7403	0.7983	0.7682	0.8073	3
0.1003	0.8253	0.7495	0.8018	0.7748	0.8087	4
0.0825	0.8617	0.7491	0.7968	0.7722	0.8048	5
0.0676	0.8938	0.7503	0.8128	0.7803	0.8062	6
0.0632	0.8795	0.7424	0.8038	0.7719	0.8103	7

Framework versions

• Transformers 4.41.0.dev0
• TensorFlow 2.16.1
• Datasets 2.19.1
• Tokenizers 0.19.1