README.md

metadata

license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
  - generated_from_keras_callback
model-index:
  - name: stevethecur/layoutlm-funsd-tf
    results: []

stevethecur/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: 1.6536
• Validation Loss: 1.4851
• Train Overall Precision: 0.1737
• Train Overall Recall: 0.3176
• Train Overall F1: 0.2245
• Train Overall Accuracy: 0.4025
• Epoch: 0

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
1.6536	1.4851	0.1737	0.3176	0.2245	0.4025	0

Framework versions

• Transformers 4.38.1
• TensorFlow 2.15.0
• Datasets 2.17.1
• Tokenizers 0.15.2