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: 0.2400
• Validation Loss: 0.6581
• 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: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
1.7416	1.4933	0
1.2494	0.9719	1
0.8035	0.7523	2
0.5954	0.6298	3
0.4596	0.6250	4
0.3674	0.6055	5
0.2889	0.6418	6
0.2400	0.6581	7

Framework versions

• Transformers 4.36.2
• TensorFlow 2.15.0
• Datasets 2.16.1
• Tokenizers 0.15.0