moisesmota/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: 0.5782
• Validation Loss: 0.6716
• Train Overall Precision: 0.6899
• Train Overall Recall: 0.7511
• Train Overall F1: 0.7192
• Train Overall Accuracy: 0.7940
• Epoch: 3

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
1.7347	1.4126	0.2336	0.2358	0.2347	0.5037	0
1.1975	0.8970	0.5712	0.6503	0.6082	0.7056	1
0.7894	0.7121	0.6420	0.7270	0.6819	0.7720	2
0.5782	0.6716	0.6899	0.7511	0.7192	0.7940	3

Framework versions

• Transformers 4.28.1
• TensorFlow 2.11.0
• Datasets 2.11.0
• Tokenizers 0.13.2