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

cor-c/layoutlm-cord-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: 2.3801
  • Validation Loss: 2.0295
  • Train Overall Precision: 0.0036
  • Train Overall Recall: 0.0025
  • Train Overall F1: 0.0030
  • Train Overall Accuracy: 0.3419
  • 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
2.3801 2.0295 0.0036 0.0025 0.0030 0.3419 0

Framework versions

  • Transformers 4.41.0.dev0
  • TensorFlow 2.16.1
  • Datasets 2.19.1
  • Tokenizers 0.19.1