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: 0.2350
• Validation Loss: 0.6723
• Train Overall Precision: 0.7420
• Train Overall Recall: 0.7978
• Train Overall F1: 0.7689
• Train Overall Accuracy: 0.8134
• 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
1.7200	1.4450	0.2446	0.2479	0.2462	0.4720	0
1.1874	0.8977	0.5707	0.6563	0.6105	0.7371	1
0.7800	0.7307	0.6355	0.7471	0.6868	0.7774	2
0.5924	0.6328	0.6774	0.7817	0.7258	0.8045	3
0.4601	0.6043	0.7228	0.7878	0.7539	0.8133	4
0.3731	0.6318	0.7220	0.7988	0.7585	0.8099	5
0.2933	0.6364	0.7358	0.8023	0.7676	0.8145	6
0.2350	0.6723	0.7420	0.7978	0.7689	0.8134	7

Framework versions

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