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

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: 0.2471
  • Validation Loss: 0.6741
  • Train Overall Precision: 0.7311
  • Train Overall Recall: 0.7858
  • Train Overall F1: 0.7574
  • Train Overall Accuracy: 0.8104
  • 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 Train Overall Precision Train Overall Recall Train Overall F1 Train Overall Accuracy Epoch
1.7162 1.4302 0.2735 0.3026 0.2873 0.4851 0
1.1601 0.8705 0.5728 0.6708 0.6180 0.7254 1
0.7538 0.7479 0.6533 0.7055 0.6784 0.7572 2
0.5704 0.6795 0.6686 0.7582 0.7106 0.7936 3
0.4379 0.6239 0.7022 0.7762 0.7374 0.8062 4
0.3470 0.6538 0.7226 0.7842 0.7522 0.7986 5
0.2908 0.6827 0.7033 0.7777 0.7386 0.7971 6
0.2471 0.6741 0.7311 0.7858 0.7574 0.8104 7

Framework versions

  • Transformers 4.35.2
  • TensorFlow 2.15.0
  • Datasets 2.16.1
  • Tokenizers 0.15.0