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: 0.1679
• Validation Loss: 0.8176
• Epoch: 9

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	Epoch
1.7048	1.4669	0
1.1586	0.8595	1
0.7649	0.7245	2
0.5608	0.6543	3
0.4477	0.6336	4
0.3699	0.6321	5
0.2943	0.6849	6
0.2402	0.6978	7
0.2048	0.7372	8
0.1679	0.8176	9

Framework versions

• Transformers 4.47.0
• TensorFlow 2.17.1
• Datasets 3.3.1
• Tokenizers 0.21.0