metadata

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

cor-c/layoutlm-cord-tf-colab

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: 1.3249
Validation Loss: 0.5218
Train Overall Precision: 0.8344
Train Overall Recall: 0.8318
Train Overall F1: 0.8331
Train Overall Accuracy: 0.8744
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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': 2.9999999242136255e-05, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Train Overall Precision	Train Overall Recall	Train Overall F1	Train Overall Accuracy	Epoch
1.3249	0.5218	0.8344	0.8318	0.8331	0.8744	0

Framework versions

Transformers 4.41.2
TensorFlow 2.15.0
Datasets 2.20.0
Tokenizers 0.19.1